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external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10307.json

@@ -0,0 +1,61 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10307",
+            "error": null,
+            "response": {
+                "messages": [
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 6,
+                            "column": 43
+                        },
+                        "endPos": {
+                            "line": 6,
+                            "column": 45
+                        },
+                        "data": "unused variable `hx`\nnote: this linter can be disabled with `set_option linter.unusedVariables false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 6,
+                            "column": 56
+                        },
+                        "endPos": {
+                            "line": 6,
+                            "column": 58
+                        },
+                        "data": "unused variable `hy`\nnote: this linter can be disabled with `set_option linter.unusedVariables false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 6,
+                            "column": 69
+                        },
+                        "endPos": {
+                            "line": 6,
+                            "column": 71
+                        },
+                        "data": "unused variable `hz`\nnote: this linter can be disabled with `set_option linter.unusedVariables false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 6,
+                            "column": 82
+                        },
+                        "endPos": {
+                            "line": 6,
+                            "column": 85
+                        },
+                        "data": "unused variable `hx1`\nnote: this linter can be disabled with `set_option linter.unusedVariables false`"
+                    }
+                ],
+                "time": 0.494565486907959
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10309.json

@@ -0,0 +1,25 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10309",
+            "error": null,
+            "response": {
+                "messages": [
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 6,
+                            "column": 37
+                        },
+                        "endPos": {
+                            "line": 6,
+                            "column": 39
+                        },
+                        "data": "unused variable `h₁`\nnote: this linter can be disabled with `set_option linter.unusedVariables false`"
+                    }
+                ],
+                "time": 0.21155190467834473
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10319.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10319",
+            "error": null,
+            "response": {
+                "time": 2.935084581375122
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_1032.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_1032",
+            "error": null,
+            "response": {
+                "time": 2.950122594833374
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10328.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10328",
+            "error": null,
+            "response": {
+                "time": 1.0923757553100586
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10329.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10329",
+            "error": null,
+            "response": {
+                "time": 0.9089663028717041
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10331.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10331",
+            "error": null,
+            "response": {
+                "time": 0.1696770191192627
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10337.json

@@ -0,0 +1,37 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10337",
+            "error": null,
+            "response": {
+                "messages": [
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 28,
+                            "column": 6
+                        },
+                        "endPos": {
+                            "line": 28,
+                            "column": 11
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 28,
+                            "column": 6
+                        },
+                        "endPos": {
+                            "line": 28,
+                            "column": 11
+                        },
+                        "data": "'omega' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    }
+                ],
+                "time": 0.8620634078979492
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_1034.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_1034",
+            "error": null,
+            "response": {
+                "time": 3.221609115600586
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10342.json

@@ -0,0 +1,25 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10342",
+            "error": null,
+            "response": {
+                "messages": [
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 20,
+                            "column": 6
+                        },
+                        "endPos": {
+                            "line": 20,
+                            "column": 20
+                        },
+                        "data": "`div_le_div_iff` has been deprecated: use `div_le_div_iff₀` instead"
+                    }
+                ],
+                "time": 3.049612283706665
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10344.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10344",
+            "error": null,
+            "response": {
+                "time": 0.33796095848083496
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10348.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10348",
+            "error": null,
+            "response": {
+                "time": 0.23917174339294434
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10352.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10352",
+            "error": null,
+            "response": {
+                "time": 3.581960678100586
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10355.json

@@ -0,0 +1,289 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10355",
+            "error": null,
+            "response": {
+                "messages": [
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 6,
+                            "column": 39
+                        },
+                        "endPos": {
+                            "line": 6,
+                            "column": 40
+                        },
+                        "data": "unused variable `h`\nnote: this linter can be disabled with `set_option linter.unusedVariables false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 15,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 15,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 17,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 17,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 19,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 19,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 21,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 21,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 23,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 23,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 25,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 25,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 27,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 27,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 29,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 29,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 31,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 31,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 33,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 33,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 35,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 35,
+                            "column": 37
+                        },
+                        "data": "this tactic is never executed\nnote: this linter can be disabled with `set_option linter.unreachableTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 15,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 15,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u - 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 17,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 17,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u + 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 19,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 19,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u - 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 21,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 21,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u + 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 23,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 23,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u - 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 25,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 25,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u + 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 27,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 27,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u - 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 29,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 29,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u + 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 31,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 31,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u - 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 33,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 33,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u + 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 35,
+                            "column": 4
+                        },
+                        "endPos": {
+                            "line": 35,
+                            "column": 37
+                        },
+                        "data": "'nlinarith [sq_nonneg (u - 2 * v)]' tactic does nothing\nnote: this linter can be disabled with `set_option linter.unusedTactic false`"
+                    }
+                ],
+                "time": 0.40897583961486816
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10358.json

@@ -0,0 +1,25 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10358",
+            "error": null,
+            "response": {
+                "messages": [
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 23,
+                            "column": 6
+                        },
+                        "endPos": {
+                            "line": 23,
+                            "column": 20
+                        },
+                        "data": "`div_le_div_iff` has been deprecated: use `div_le_div_iff₀` instead"
+                    }
+                ],
+                "time": 9.200644969940186
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_1036.json

@@ -0,0 +1,9 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_1036",
+            "error": "Lean process timed out",
+            "response": null
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10364.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10364",
+            "error": null,
+            "response": {
+                "time": 10.068775177001953
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10370.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10370",
+            "error": null,
+            "response": {
+                "time": 1.1780552864074707
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10373.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10373",
+            "error": null,
+            "response": {
+                "time": 0.3475337028503418
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10390.json

@@ -0,0 +1,11 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10390",
+            "error": null,
+            "response": {
+                "time": 3.3534247875213623
+            }
+        }
+    ]
+}

external/kimina-lean-server/tests/match/output/goedel-lean_workbook_10393.json

@@ -0,0 +1,49 @@
+{
+    "results": [
+        {
+            "custom_id": "lean_workbook_10393",
+            "error": null,
+            "response": {
+                "messages": [
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 17,
+                            "column": 10
+                        },
+                        "endPos": {
+                            "line": 17,
+                            "column": 31
+                        },
+                        "data": "`div_le_div_of_le_left` has been deprecated: use `div_le_div_of_nonneg_left` instead"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 20,
+                            "column": 10
+                        },
+                        "endPos": {
+                            "line": 20,
+                            "column": 31
+                        },
+                        "data": "`div_le_div_of_le_left` has been deprecated: use `div_le_div_of_nonneg_left` instead"
+                    },
+                    {
+                        "severity": "warning",
+                        "pos": {
+                            "line": 23,
+                            "column": 10
+                        },
+                        "endPos": {
+                            "line": 23,
+                            "column": 31
+                        },
+                        "data": "`div_le_div_of_le_left` has been deprecated: use `div_le_div_of_nonneg_left` instead"
+                    }
+                ],
+                "time": 4.283819675445557
+            }
+        }
+    ]
+}

external/webshop-minimal/webshop_minimal.egg-info/requires.txt

@@ -0,0 +1,15 @@
+beautifulsoup4
+cleantext
+flask
+gym
+html2text
+numpy
+pandas
+torch
+rank_bm25
+pyserini
+faiss-cpu
+thefuzz
+gdown
+spacy
+rich

external/webshop-minimal/webshop_minimal/templates/attributes_page.html

@@ -0,0 +1,58 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="{{url_for('static', filename='style.css')}}">
+    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/css/bootstrap.min.css">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.0.3/css/font-awesome.css	">
+    <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
+    <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.bundle.min.js"></script>
+    <link rel="icon" href="data:,">
+  </head>
+  <body>
+    <div class="container py-5">
+      <div class="row top-buffer">
+        <div class="col-sm-6">
+          <div id="instruction-text" class="text-center">
+            <h4>Instruction:<br>{{ instruction_text }}</h4>
+          </div>
+        </div>
+      </div>
+      <div class="row top-buffer">
+        <form method="post" action="{{url_for('index', session_id=session_id)}}">
+          <button type="submit" class="btn btn-success">Back to Search</button>
+        </form>
+      </div>
+      <div class="row top-buffer">
+        <form method="post" action="{{url_for('item_page', session_id=session_id, asin=asin, keywords=keywords, page=page, options=options)}}">
+          <button type="submit" class="btn btn-primary">&lt; Prev</button>
+        </form>
+      </div>
+      <div class="row top-buffer">
+        <div class="col-md-12">
+          <div class="row top-buffer">
+            <div class="col-sm-6" name="description">
+              <div class="card card-body">
+                <ul>
+                  {% for attribute in product_info.Attributes %}
+                  <li><p class="attribute"> {{attribute}}</p></li>
+                  {% endfor %}
+                </ul>
+              </div>
+            </div>
+            <div class="col-sm-6" name="description">
+              <div class="d-flex align-items-center justify-content-between mt-1">
+                <h5 class="font-weight-bold my-2 product-category">{{product_info.category}}</h5>
+              </div>
+              <div class="d-flex align-items-center justify-content-between mt-1">
+                <h5 class="font-weight-bold my-2 product-query">{{product_info.query}}</h5>
+              </div>
+              <div class="d-flex align-items-center justify-content-between mt-1">
+                <h5 class="font-weight-bold my-2 product-product_category">{{product_info.product_category}}</h5>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  </body>
+</html>

external/webshop-minimal/webshop_minimal/templates/item_page.html

@@ -0,0 +1,119 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="{{url_for('static', filename='style.css')}}">
+    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/css/bootstrap.min.css">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.0.3/css/font-awesome.css	">
+    <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
+    <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.bundle.min.js"></script>
+    <link rel="icon" href="data:,">
+  </head>
+  <body>
+    <div class="container py-5">
+      <div class="row top-buffer">
+        <div class="col-sm-6">
+          <div id="instruction-text" class="text-center">
+            <h4>Instruction:<br>{{ instruction_text }}</h4>
+          </div>
+        </div>
+      </div>
+      <div class="row top-buffer">
+        <form method="post" action="{{url_for('index', session_id=session_id)}}">
+          <button type="submit" class="btn btn-success">Back to Search</button>
+        </form>
+      </div>
+      <div class="row top-buffer">
+        <form method="post" action="{{url_for('search_results', session_id=session_id, keywords=keywords, page=page)}}">
+          <button type="submit" class="btn btn-primary">&lt; Prev</button>
+        </form>
+      </div>
+      <div class="row top-buffer">
+        <div class="col-md-4 mb-4 mb-md-0">
+          <div class="row top-buffer">
+            <img id="product-image" src="{{product_info.MainImage}}" class="item-page-img">
+          </div>
+          {% for option_name, option_contents in product_info.options.items() %}
+            <div class="row top-buffer">
+              <h4>{{ option_name }}</h4>
+              <div class="radio-toolbar">
+                {% for option_content in option_contents %}
+                  {% set current_options = options.copy() %}
+                  {% set _ = current_options.update({option_name: option_content}) %}
+                  {% set url = url_for('item_page', session_id=session_id, asin=asin, keywords=keywords, page=page, options=current_options) %}
+                  <input type="radio" id="radio_{{ option_name }}{{ loop.index0 }}" name="{{ option_name }}" value="{{ option_content }}" data-url="{{ url }}">
+                  <label for="radio_{{ option_name }}{{ loop.index0 }}">{{ option_content }}</label>
+                {% endfor %}
+              </div>
+            </div>
+          {% endfor %}
+        </div>
+        <div class="col-md-6">
+          <h2>{{product_info.Title}}</h2>
+          <h4>Price: {{product_info.Price}}</h4>
+          <h4>Rating: {{product_info.Rating}}</h4>
+          <div class="row top-buffer">
+            <div class="col-sm-3" name="description">
+              <form method="post" action="{{ url_for('item_sub_page', session_id=session_id, asin=asin, keywords=keywords, page=page, sub_page='Description', options=options) }}">
+                <button class="btn btn-primary" type="submit">Description</button>
+              </form>
+            </div>
+            <div class="col-sm-3" name="bulletpoints">
+              <form method="post" action="{{ url_for('item_sub_page', session_id=session_id, asin=asin, keywords=keywords, page=page, sub_page='Features', options=options) }}">
+                <button class="btn btn-primary" type="submit">Features</button>
+              </form>
+            </div>
+            <div class="col-sm-3" name="reviews">
+              <form method="post" action="{{ url_for('item_sub_page', session_id=session_id, asin=asin, keywords=keywords, page=page, sub_page='Reviews', options=options) }}">
+                <button class="btn btn-primary" type="submit">Reviews</button>
+              </form>
+            </div>
+            {% if show_attrs %}
+            <div class="col-sm-3" name="attributes">
+              <form method="post" action="{{ url_for('item_sub_page', session_id=session_id, asin=asin, keywords=keywords, page=page, sub_page='Attributes', options=options) }}">
+                <button class="btn btn-primary" type="submit">Attributes</button>
+              </form>
+            </div>
+            {% endif %}
+          </div>
+        </div>
+        <div class="col-sm-2">
+          <div class="row top-buffer">
+            <form method="post" action="{{url_for('done', session_id=session_id, asin=asin, options=options )}}">
+              <button type="submit" class="btn btn-lg purchase">Buy Now</button>
+            </form>
+          </div>
+        </div>
+      </div>
+    </div>
+  </body>
+  <script>
+    $(document).ready(function() {
+      $('input:radio').each(function() {
+        //console.log($(this).val());
+        let options = JSON.parse(`{{ options | tojson }}`);
+        let optionValues = $.map(options, function(value, key) { return value });
+        //console.log(optionValues);
+        if (optionValues.includes($(this).val())) {
+          $(this).prop('checked', true);
+
+          let option_to_image = JSON.parse(`{{ product_info.option_to_image | tojson }}`);
+//          console.log($(this).val());
+//          console.log(options);
+//          console.log(option_to_image);
+          let image_url = option_to_image[$(this).val()];
+
+          //console.log(image_url);
+          if (image_url) {
+            $("#product-image").attr("src", image_url);
+          }
+        }
+        
+        // reload with updated options
+        this.addEventListener("click", function() {
+          window.location.href = this.dataset.url;
+        });
+
+      });
+    });
+  </script>
+</html>

external/webshop-minimal/webshop_minimal/templates/review_page.html

@@ -0,0 +1,59 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="{{url_for('static', filename='style.css')}}">
+    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/css/bootstrap.min.css">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.0.3/css/font-awesome.css	">
+    <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
+    <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.bundle.min.js"></script>
+    <link rel="icon" href="data:,">
+  </head>
+  <body>
+    <div class="container py-5">
+      <div class="row top-buffer">
+        <div class="col-sm-6">
+          <div id="instruction-text" class="text-center">
+            <h4>Instruction:<br>{{ instruction_text }}</h4>
+          </div>
+        </div>
+      </div>
+      <div class="row top-buffer">
+        <form method="post" action="{{url_for('index', session_id=session_id)}}">
+          <button type="submit" class="btn btn-success">Back to Search</button>
+        </form>
+      </div>
+      <div class="row top-buffer">
+        <form method="post" action="{{url_for('item_page', session_id=session_id, asin=asin, keywords=keywords, page=page, options=options)}}">
+          <button type="submit" class="btn btn-primary">&lt; Prev</button>
+        </form>
+      </div>
+      <div class="row top-buffer">
+        <div class="col-md-12">
+          <div class="row top-buffer">
+            <div class="col-sm-6" name="reviews">
+              <div class="card card-body">
+                {% for review in product_info.Reviews %}
+                  <div class="card">
+                    <div class="row text-left">
+                      <h4 class="blue-text mt-3">"{{review.title}}"</h4>
+                      <p class="text-left">
+                        <span>{{review.score}}</span>
+                        {% for i in range(review.score | int) %}
+                            <span class="fa fa-star star-active"></span>
+                        {% endfor %}
+                        {% for i in range(5 - review.score | int) %}
+                            <span class="fa fa-star star-inactive"></span>
+                        {% endfor %}
+                      </p>
+                      <p class="content">{{review.body}}</p>
+                    </div>
+                  </div>
+                {% endfor %}
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  </body>
+</html>

external/webshop-minimal/webshop_minimal/templates/search_page.html

@@ -0,0 +1,34 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="{{url_for('static', filename='style.css')}}">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
+    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/css/bootstrap.min.css">
+    <link rel="icon" href="data:,">
+  </head>
+  <body>
+    <!-- Code reference: https://bootsnipp.com/snippets/m13mN -->
+    <div class="container" style="margin-top: 8%;">
+      <div class="col-md-6 col-md-offset-3">     
+        <div class="row">
+          <div id="logo" class="text-center">
+            <h2>WebShop</h2>
+          </div>
+          <div id="instruction-text" class="text-center">
+            <h4>Instruction: <br>{{ instruction_text }}</h4>
+          </div>
+          <form role="form" id="form-buscar" method="post" action="{{url_for('index', session_id=session_id)}}">
+            <div class="form-group">
+              <div class="input-group">
+                <input id="search_input" class="form-control" type="text" name="search_query" placeholder="Search..." required/>
+                <span class="input-group-btn">
+                  <button class="btn btn-success" type="submit"><i class="glyphicon glyphicon-search" aria-hidden="true"></i>Search</button>
+                </span>
+              </div>
+            </div>
+          </form>
+        </div>            
+      </div>
+    </div>
+  </body>
+</html>

outputs/2025-11-17/14-46-02/.hydra/config.yaml

@@ -0,0 +1,752 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      warmup_style: constant
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    _target_: verl.workers.config.FSDPActorConfig
+    strategy: fsdp
+    ppo_mini_batch_size: ${ppo_mini_batch_size}
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    entropy_coeff: 0.001
+    tis_imp_ratio_cap: -1
+    use_kl_loss: false
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+    use_ref: true
+    grpo_advantage_length_weight: ${grpo_advantage_length_weight}
+  ref:
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    model: null
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: sync
+    temperature: 1
+    top_k: -1
+    top_p: 1
+    prompt_length: 1
+    response_length: 400
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    ignore_eos: false
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 1
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: 3600
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0.5
+      'n': 1
+      do_sample: true
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    layered_summon: false
+    rollout_filter_ratio: 1
+    rollout_filter_type: largest
+    rollout_filter_metric: reward_variance
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: ${model_path}
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: ${lora.rank}
+    lora_alpha: ${lora.alpha}
+    target_modules: ${lora.target_modules}
+    exclude_modules: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: ~/data/rlhf/gsm8k/train.parquet
+  val_files: ~/data/rlhf/gsm8k/test.parquet
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: null
+  max_response_length: null
+  train_batch_size: null
+  val_batch_size: null
+  return_raw_input_ids: false
+  return_raw_chat: false
+  return_full_prompt: false
+  shuffle: true
+  dataloader_num_workers: 8
+  validation_shuffle: false
+  filter_overlong_prompts: false
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    warmup_style: constant
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    path: ${model_path}
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: ${lora.rank}
+    lora_alpha: ${lora.alpha}
+    target_modules: ${lora.target_modules}
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${ppo_mini_batch_size}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+custom_reward_function:
+  path: null
+  name: compute_score
+algorithm:
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: gae
+  norm_adv_by_std_in_grpo: true
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+  high_level_gamma: 0.95
+  bi_level_gae: false
+trainer:
+  balance_batch: true
+  total_epochs: 30
+  total_training_steps: 200
+  project_name: ragen_latest
+  experiment_name: frozen_lake-ppo
+  logger:
+  - console
+  - wandb
+  log_val_generations: 0
+  rollout_data_dir: null
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 1
+  save_freq: 100
+  esi_redundant_time: 0
+  resume_mode: auto
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 10
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: 1
+  max_critic_ckpt_to_keep: 1
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+  local_log_dir: results/
+  validation_steps: 1
+  generations_to_log_to_wandb:
+    val: 20
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null
+custom_envs:
+  SimpleSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+  LargerSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      dim_x: 8
+      dim_y: 8
+      num_boxes: 2
+      max_steps: 100
+      search_depth: 10
+  SokobanDifferentGridVocab:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      search_depth: 30
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      grid_lookup:
+        0: W
+        1: .
+        2: G
+        3: C
+        4: B
+        5: A
+        6: '@'
+      grid_vocab:
+        W: wall
+        .: empty
+        G: target
+        C: box on target
+        B: box
+        A: player
+        '@': player on target
+  CoordSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. You are the player and you\
+      \ need to push all boxes to targets.\nYou are provided with a symbol grid and\
+      \ the zero-indexed coordinates of the player, each box, and each target. \n\
+      Coordinates range from the top-left corner (0, 0) to the bottom-right corner\
+      \ (5, 5). \nWhen you are exactly next to a box, you can push it by moving in\
+      \ the same direction. \nYou cannot push a box through a wall, and you cannot\
+      \ pull a box.\nThe answer should be a sequence of actions, like <answer>Right\
+      \ || Right || Up</answer>.\n"
+    max_tokens: 120
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      observation_format: grid_coord
+  VisualSimpleSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: You are solving the Sokoban puzzle. You are the player and you
+      need to push all boxes to targets. When you are right next to a box, you can
+      push it by moving in the same direction. You cannot push a box through a wall,
+      and you cannot pull a box. The answer should be a sequence of actions, like
+      <answer>Right || Right || Up</answer>
+    max_tokens: 100
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      render_mode: rgb_array
+  Countdown:
+    env_type: countdown
+    max_actions_per_traj: 1
+    env_instruction: 'You are solving the Countdown puzzle. You should use the num
+      list to create an equation that equals the target. Example answer format: <think>
+      To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3
+      = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
+    max_tokens: 100
+    env_config: null
+  Bandit:
+    env_type: bandit
+    max_actions_per_traj: 1
+    env_instruction: ''
+    max_tokens: 100
+    env_config:
+      split: train
+  BanditTest:
+    env_type: bandit
+    max_actions_per_traj: 1
+    env_instruction: ''
+    max_tokens: 100
+    env_config:
+      split: test
+  FrozenLake:
+    env_type: frozen_lake
+    max_actions_per_traj: 10
+    env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and
+      go to the target. You may move to the unintended direction due to the slippery
+      ice. Example answer format: <think>To forbid the hole and go to the target,
+      I should go left then go up.</think><answer>Left || Up</answer>'
+    max_tokens: 100
+    env_config: null
+  CoordFrozenLake:
+    env_type: frozen_lake
+    max_actions_per_traj: 10
+    env_instruction: 'You are solving the FrozenLake puzzle. The observation includes
+      both a symbol grid and zero-indexed coordinates for the start, goal, player,
+      and any holes.
+
+      Coordinates range from the top-left corner (0, 0) to the bottom-right corner
+      (5, 5).
+
+      Beware that the ice is slippery, so the agent might slide and end up in an unintended
+      tile.
+
+      Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
+
+      '
+    max_tokens: 120
+    env_config:
+      observation_format: grid_coord
+  MetamathQA:
+    env_type: metamathqa
+    max_actions_per_traj: 1
+    env_instruction: 'You are solving Math problems. '
+    max_tokens: 100
+    env_config: null
+  WebShop:
+    env_type: webshop
+    max_actions_per_traj: 9
+    env_instruction: 'You are browsing an online shop. Based on the instruction, buy
+      a product that close to the production description. You need to search, read
+      the search results, pick a product, choose the size and color and buy. You should
+      only choose action from the available actions list provided later.  Example
+      process: I need a gingko light and 20x20 pillow cover that is hand painted.
+      First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket
+      with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
+    max_tokens: 200
+    env_config:
+      dataset: small
+  Lean:
+    env_type: lean
+    max_actions_per_traj: 30
+    env_instruction: You are a Lean theorem prover. Given a Lean theorem statement,
+      propose a sequence of tactics that completes the proof. Think step by step about
+      which tactics to apply next. Provide tactics separated by '||', for example
+      <answer>intro || simp || rfl</answer>.
+    max_tokens: 512
+    env_config: null
+system:
+  CUDA_VISIBLE_DEVICES: 3
+seed:
+  train: 10000
+  val: 123
+micro_batch_size_per_gpu: 4
+ppo_mini_batch_size: 32
+model_path: Qwen/Qwen2.5-3B-Instruct
+enable_response_mask: true
+grpo_advantage_length_weight: false
+lora:
+  rank: 0
+  alpha: 64
+  target_modules: all-linear
+agent_proxy:
+  max_context_window: -1
+  max_turn: 5
+  action_sep: '||'
+  max_actions_per_turn: 2
+  use_turn_scores: false
+  enable_think: true
+  reward_normalization:
+    grouping: state
+    method: identity
+es_manager:
+  format_penalty: -0.1
+  train:
+    env_groups: 8
+    group_size: 16
+    env_configs:
+      tags:
+      - CoordFrozenLake
+      n_groups:
+      - 8
+  val:
+    env_groups: 32
+    group_size: 16
+    env_configs:
+      tags:
+      - CoordFrozenLake
+      n_groups:
+      - 32
+ctx_manager:
+  generation:
+    gen_config:
+      response_length: ${actor_rollout_ref.rollout.response_length}
+      temperature: ${actor_rollout_ref.rollout.temperature}
+      top_p: ${actor_rollout_ref.rollout.top_p}
+      top_k: ${actor_rollout_ref.rollout.top_k}
+      kwargs: null

outputs/2025-11-17/14-46-02/.hydra/hydra.yaml

@@ -0,0 +1,176 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - system.CUDA_VISIBLE_DEVICES=3
+    - trainer.experiment_name=frozen_lake-ppo
+    - algorithm.adv_estimator=gae
+    - algorithm.kl_ctrl.kl_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.clip_ratio_high=0.2
+    - actor_rollout_ref.rollout.rollout_filter_ratio=1
+  job:
+    name: train
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.clip_ratio_high=0.2,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.rollout.rollout_filter_ratio=1,algorithm.adv_estimator=gae,algorithm.kl_ctrl.kl_coef=0.001,system.CUDA_VISIBLE_DEVICES=3,trainer.experiment_name=frozen_lake-ppo
+    id: ???
+    num: ???
+    config_name: _3_frozen_lake
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/general/wanghy/RAGEN
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/general/wanghy/RAGEN/config
+      schema: file
+      provider: main
+    - path: /mnt/general/wanghy/RAGEN/verl/verl/trainer/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/general/wanghy/RAGEN/outputs/2025-11-17/14-46-02
+    choices:
+      reward_model: dp_reward_model
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2025-11-17/14-46-02/.hydra/overrides.yaml

@@ -0,0 +1,7 @@
+- system.CUDA_VISIBLE_DEVICES=3
+- trainer.experiment_name=frozen_lake-ppo
+- algorithm.adv_estimator=gae
+- algorithm.kl_ctrl.kl_coef=0.001
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.clip_ratio_high=0.2
+- actor_rollout_ref.rollout.rollout_filter_ratio=1

outputs/2025-11-17/14-48-10/.hydra/hydra.yaml

@@ -0,0 +1,176 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - system.CUDA_VISIBLE_DEVICES=3
+    - trainer.experiment_name=frozen_lake-ppo
+    - algorithm.adv_estimator=gae
+    - algorithm.kl_ctrl.kl_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.clip_ratio_high=0.2
+    - actor_rollout_ref.rollout.rollout_filter_ratio=1
+  job:
+    name: train
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.clip_ratio_high=0.2,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.rollout.rollout_filter_ratio=1,algorithm.adv_estimator=gae,algorithm.kl_ctrl.kl_coef=0.001,system.CUDA_VISIBLE_DEVICES=3,trainer.experiment_name=frozen_lake-ppo
+    id: ???
+    num: ???
+    config_name: _3_frozen_lake
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/general/wanghy/RAGEN
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/general/wanghy/RAGEN/config
+      schema: file
+      provider: main
+    - path: /mnt/general/wanghy/RAGEN/verl/verl/trainer/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/general/wanghy/RAGEN/outputs/2025-11-17/14-48-10
+    choices:
+      reward_model: dp_reward_model
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2025-11-17/14-48-10/.hydra/overrides.yaml

@@ -0,0 +1,7 @@
+- system.CUDA_VISIBLE_DEVICES=3
+- trainer.experiment_name=frozen_lake-ppo
+- algorithm.adv_estimator=gae
+- algorithm.kl_ctrl.kl_coef=0.001
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.clip_ratio_high=0.2
+- actor_rollout_ref.rollout.rollout_filter_ratio=1

outputs/2025-11-17/14-48-50/.hydra/config.yaml

@@ -0,0 +1,752 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      warmup_style: constant
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    _target_: verl.workers.config.FSDPActorConfig
+    strategy: fsdp
+    ppo_mini_batch_size: ${ppo_mini_batch_size}
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    entropy_coeff: 0.001
+    tis_imp_ratio_cap: -1
+    use_kl_loss: false
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+    use_ref: true
+    grpo_advantage_length_weight: ${grpo_advantage_length_weight}
+  ref:
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    model: null
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: sync
+    temperature: 1
+    top_k: -1
+    top_p: 1
+    prompt_length: 1
+    response_length: 400
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    ignore_eos: false
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 1
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: 3600
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0.5
+      'n': 1
+      do_sample: true
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    layered_summon: false
+    rollout_filter_ratio: 1
+    rollout_filter_type: largest
+    rollout_filter_metric: reward_variance
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: ${model_path}
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: ${lora.rank}
+    lora_alpha: ${lora.alpha}
+    target_modules: ${lora.target_modules}
+    exclude_modules: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: ~/data/rlhf/gsm8k/train.parquet
+  val_files: ~/data/rlhf/gsm8k/test.parquet
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: null
+  max_response_length: null
+  train_batch_size: null
+  val_batch_size: null
+  return_raw_input_ids: false
+  return_raw_chat: false
+  return_full_prompt: false
+  shuffle: true
+  dataloader_num_workers: 8
+  validation_shuffle: false
+  filter_overlong_prompts: false
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    warmup_style: constant
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    path: ${model_path}
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: ${lora.rank}
+    lora_alpha: ${lora.alpha}
+    target_modules: ${lora.target_modules}
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${ppo_mini_batch_size}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+custom_reward_function:
+  path: null
+  name: compute_score
+algorithm:
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: gae
+  norm_adv_by_std_in_grpo: true
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+  high_level_gamma: 0.95
+  bi_level_gae: false
+trainer:
+  balance_batch: true
+  total_epochs: 30
+  total_training_steps: 200
+  project_name: ragen_latest
+  experiment_name: frozen_lake-ppo
+  logger:
+  - console
+  - wandb
+  log_val_generations: 0
+  rollout_data_dir: null
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 1
+  save_freq: 100
+  esi_redundant_time: 0
+  resume_mode: auto
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 10
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: 1
+  max_critic_ckpt_to_keep: 1
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+  local_log_dir: results/
+  validation_steps: 1
+  generations_to_log_to_wandb:
+    val: 20
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null
+custom_envs:
+  SimpleSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+  LargerSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      dim_x: 8
+      dim_y: 8
+      num_boxes: 2
+      max_steps: 100
+      search_depth: 10
+  SokobanDifferentGridVocab:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      search_depth: 30
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      grid_lookup:
+        0: W
+        1: .
+        2: G
+        3: C
+        4: B
+        5: A
+        6: '@'
+      grid_vocab:
+        W: wall
+        .: empty
+        G: target
+        C: box on target
+        B: box
+        A: player
+        '@': player on target
+  CoordSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. You are the player and you\
+      \ need to push all boxes to targets.\nYou are provided with a symbol grid and\
+      \ the zero-indexed coordinates of the player, each box, and each target. \n\
+      Coordinates range from the top-left corner (0, 0) to the bottom-right corner\
+      \ (5, 5). \nWhen you are exactly next to a box, you can push it by moving in\
+      \ the same direction. \nYou cannot push a box through a wall, and you cannot\
+      \ pull a box.\nThe answer should be a sequence of actions, like <answer>Right\
+      \ || Right || Up</answer>.\n"
+    max_tokens: 120
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      observation_format: grid_coord
+  VisualSimpleSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: You are solving the Sokoban puzzle. You are the player and you
+      need to push all boxes to targets. When you are right next to a box, you can
+      push it by moving in the same direction. You cannot push a box through a wall,
+      and you cannot pull a box. The answer should be a sequence of actions, like
+      <answer>Right || Right || Up</answer>
+    max_tokens: 100
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      render_mode: rgb_array
+  Countdown:
+    env_type: countdown
+    max_actions_per_traj: 1
+    env_instruction: 'You are solving the Countdown puzzle. You should use the num
+      list to create an equation that equals the target. Example answer format: <think>
+      To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3
+      = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
+    max_tokens: 100
+    env_config: null
+  Bandit:
+    env_type: bandit
+    max_actions_per_traj: 1
+    env_instruction: ''
+    max_tokens: 100
+    env_config:
+      split: train
+  BanditTest:
+    env_type: bandit
+    max_actions_per_traj: 1
+    env_instruction: ''
+    max_tokens: 100
+    env_config:
+      split: test
+  FrozenLake:
+    env_type: frozen_lake
+    max_actions_per_traj: 10
+    env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and
+      go to the target. You may move to the unintended direction due to the slippery
+      ice. Example answer format: <think>To forbid the hole and go to the target,
+      I should go left then go up.</think><answer>Left || Up</answer>'
+    max_tokens: 100
+    env_config: null
+  CoordFrozenLake:
+    env_type: frozen_lake
+    max_actions_per_traj: 10
+    env_instruction: 'You are solving the FrozenLake puzzle. The observation includes
+      both a symbol grid and zero-indexed coordinates for the start, goal, player,
+      and any holes.
+
+      Coordinates range from the top-left corner (0, 0) to the bottom-right corner
+      (5, 5).
+
+      Beware that the ice is slippery, so the agent might slide and end up in an unintended
+      tile.
+
+      Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
+
+      '
+    max_tokens: 120
+    env_config:
+      observation_format: grid_coord
+  MetamathQA:
+    env_type: metamathqa
+    max_actions_per_traj: 1
+    env_instruction: 'You are solving Math problems. '
+    max_tokens: 100
+    env_config: null
+  WebShop:
+    env_type: webshop
+    max_actions_per_traj: 9
+    env_instruction: 'You are browsing an online shop. Based on the instruction, buy
+      a product that close to the production description. You need to search, read
+      the search results, pick a product, choose the size and color and buy. You should
+      only choose action from the available actions list provided later.  Example
+      process: I need a gingko light and 20x20 pillow cover that is hand painted.
+      First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket
+      with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
+    max_tokens: 200
+    env_config:
+      dataset: small
+  Lean:
+    env_type: lean
+    max_actions_per_traj: 30
+    env_instruction: You are a Lean theorem prover. Given a Lean theorem statement,
+      propose a sequence of tactics that completes the proof. Think step by step about
+      which tactics to apply next. Provide tactics separated by '||', for example
+      <answer>intro || simp || rfl</answer>.
+    max_tokens: 512
+    env_config: null
+system:
+  CUDA_VISIBLE_DEVICES: 3
+seed:
+  train: 10000
+  val: 123
+micro_batch_size_per_gpu: 4
+ppo_mini_batch_size: 32
+model_path: Qwen/Qwen2.5-3B-Instruct
+enable_response_mask: true
+grpo_advantage_length_weight: false
+lora:
+  rank: 0
+  alpha: 64
+  target_modules: all-linear
+agent_proxy:
+  max_context_window: -1
+  max_turn: 5
+  action_sep: '||'
+  max_actions_per_turn: 2
+  use_turn_scores: false
+  enable_think: true
+  reward_normalization:
+    grouping: state
+    method: identity
+es_manager:
+  format_penalty: -0.1
+  train:
+    env_groups: 8
+    group_size: 16
+    env_configs:
+      tags:
+      - CoordFrozenLake
+      n_groups:
+      - 8
+  val:
+    env_groups: 32
+    group_size: 16
+    env_configs:
+      tags:
+      - CoordFrozenLake
+      n_groups:
+      - 32
+ctx_manager:
+  generation:
+    gen_config:
+      response_length: ${actor_rollout_ref.rollout.response_length}
+      temperature: ${actor_rollout_ref.rollout.temperature}
+      top_p: ${actor_rollout_ref.rollout.top_p}
+      top_k: ${actor_rollout_ref.rollout.top_k}
+      kwargs: null

outputs/2025-11-17/14-48-50/.hydra/hydra.yaml

@@ -0,0 +1,176 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - system.CUDA_VISIBLE_DEVICES=3
+    - trainer.experiment_name=frozen_lake-ppo
+    - algorithm.adv_estimator=gae
+    - algorithm.kl_ctrl.kl_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.clip_ratio_high=0.2
+    - actor_rollout_ref.rollout.rollout_filter_ratio=1
+  job:
+    name: train
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.clip_ratio_high=0.2,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.rollout.rollout_filter_ratio=1,algorithm.adv_estimator=gae,algorithm.kl_ctrl.kl_coef=0.001,system.CUDA_VISIBLE_DEVICES=3,trainer.experiment_name=frozen_lake-ppo
+    id: ???
+    num: ???
+    config_name: _3_frozen_lake
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/general/wanghy/RAGEN
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/general/wanghy/RAGEN/config
+      schema: file
+      provider: main
+    - path: /mnt/general/wanghy/RAGEN/verl/verl/trainer/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/general/wanghy/RAGEN/outputs/2025-11-17/14-48-50
+    choices:
+      reward_model: dp_reward_model
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2025-11-17/14-48-50/.hydra/overrides.yaml

@@ -0,0 +1,7 @@
+- system.CUDA_VISIBLE_DEVICES=3
+- trainer.experiment_name=frozen_lake-ppo
+- algorithm.adv_estimator=gae
+- algorithm.kl_ctrl.kl_coef=0.001
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.clip_ratio_high=0.2
+- actor_rollout_ref.rollout.rollout_filter_ratio=1

outputs/2025-11-17/14-54-16/.hydra/config.yaml

@@ -0,0 +1,752 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      warmup_style: constant
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    _target_: verl.workers.config.FSDPActorConfig
+    strategy: fsdp
+    ppo_mini_batch_size: ${ppo_mini_batch_size}
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    entropy_coeff: 0.001
+    tis_imp_ratio_cap: -1
+    use_kl_loss: false
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+    use_ref: true
+    grpo_advantage_length_weight: ${grpo_advantage_length_weight}
+  ref:
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    model: null
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: sync
+    temperature: 1
+    top_k: -1
+    top_p: 1
+    prompt_length: 1
+    response_length: 400
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    ignore_eos: false
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 1
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: 3600
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0.5
+      'n': 1
+      do_sample: true
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    layered_summon: false
+    rollout_filter_ratio: 1
+    rollout_filter_type: largest
+    rollout_filter_metric: reward_variance
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: ${model_path}
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: ${lora.rank}
+    lora_alpha: ${lora.alpha}
+    target_modules: ${lora.target_modules}
+    exclude_modules: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: ~/data/rlhf/gsm8k/train.parquet
+  val_files: ~/data/rlhf/gsm8k/test.parquet
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: null
+  max_response_length: null
+  train_batch_size: null
+  val_batch_size: null
+  return_raw_input_ids: false
+  return_raw_chat: false
+  return_full_prompt: false
+  shuffle: true
+  dataloader_num_workers: 8
+  validation_shuffle: false
+  filter_overlong_prompts: false
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    warmup_style: constant
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+    path: ${model_path}
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: ${lora.rank}
+    lora_alpha: ${lora.alpha}
+    target_modules: ${lora.target_modules}
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${ppo_mini_batch_size}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${micro_batch_size_per_gpu}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+custom_reward_function:
+  path: null
+  name: compute_score
+algorithm:
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: gae
+  norm_adv_by_std_in_grpo: true
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+  high_level_gamma: 0.95
+  bi_level_gae: false
+trainer:
+  balance_batch: true
+  total_epochs: 30
+  total_training_steps: 200
+  project_name: ragen_latest
+  experiment_name: frozen_lake-ppo
+  logger:
+  - console
+  - wandb
+  log_val_generations: 0
+  rollout_data_dir: null
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 1
+  save_freq: 100
+  esi_redundant_time: 0
+  resume_mode: auto
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 10
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: 1
+  max_critic_ckpt_to_keep: 1
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+  local_log_dir: results/
+  validation_steps: 1
+  generations_to_log_to_wandb:
+    val: 20
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null
+custom_envs:
+  SimpleSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+  LargerSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      dim_x: 8
+      dim_y: 8
+      num_boxes: 2
+      max_steps: 100
+      search_depth: 10
+  SokobanDifferentGridVocab:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and\
+      \ you need to push all boxes to targets. \nWhen you are right next to a box,\
+      \ you can push it by moving in the same direction. \nYou cannot push a box through\
+      \ a wall, and you cannot pull a box. \nThe answer should be a sequence of actions,\
+      \ like <answer>Right || Right || Up</answer>\n"
+    max_tokens: 100
+    env_config:
+      search_depth: 30
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      grid_lookup:
+        0: W
+        1: .
+        2: G
+        3: C
+        4: B
+        5: A
+        6: '@'
+      grid_vocab:
+        W: wall
+        .: empty
+        G: target
+        C: box on target
+        B: box
+        A: player
+        '@': player on target
+  CoordSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: "You are solving the Sokoban puzzle. You are the player and you\
+      \ need to push all boxes to targets.\nYou are provided with a symbol grid and\
+      \ the zero-indexed coordinates of the player, each box, and each target. \n\
+      Coordinates range from the top-left corner (0, 0) to the bottom-right corner\
+      \ (5, 5). \nWhen you are exactly next to a box, you can push it by moving in\
+      \ the same direction. \nYou cannot push a box through a wall, and you cannot\
+      \ pull a box.\nThe answer should be a sequence of actions, like <answer>Right\
+      \ || Right || Up</answer>.\n"
+    max_tokens: 120
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      observation_format: grid_coord
+  VisualSimpleSokoban:
+    env_type: sokoban
+    max_actions_per_traj: 10
+    env_instruction: You are solving the Sokoban puzzle. You are the player and you
+      need to push all boxes to targets. When you are right next to a box, you can
+      push it by moving in the same direction. You cannot push a box through a wall,
+      and you cannot pull a box. The answer should be a sequence of actions, like
+      <answer>Right || Right || Up</answer>
+    max_tokens: 100
+    env_config:
+      dim_x: 6
+      dim_y: 6
+      num_boxes: 1
+      max_steps: 100
+      render_mode: rgb_array
+  Countdown:
+    env_type: countdown
+    max_actions_per_traj: 1
+    env_instruction: 'You are solving the Countdown puzzle. You should use the num
+      list to create an equation that equals the target. Example answer format: <think>
+      To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3
+      = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
+    max_tokens: 100
+    env_config: null
+  Bandit:
+    env_type: bandit
+    max_actions_per_traj: 1
+    env_instruction: ''
+    max_tokens: 100
+    env_config:
+      split: train
+  BanditTest:
+    env_type: bandit
+    max_actions_per_traj: 1
+    env_instruction: ''
+    max_tokens: 100
+    env_config:
+      split: test
+  FrozenLake:
+    env_type: frozen_lake
+    max_actions_per_traj: 10
+    env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and
+      go to the target. You may move to the unintended direction due to the slippery
+      ice. Example answer format: <think>To forbid the hole and go to the target,
+      I should go left then go up.</think><answer>Left || Up</answer>'
+    max_tokens: 100
+    env_config: null
+  CoordFrozenLake:
+    env_type: frozen_lake
+    max_actions_per_traj: 10
+    env_instruction: 'You are solving the FrozenLake puzzle. The observation includes
+      both a symbol grid and zero-indexed coordinates for the start, goal, player,
+      and any holes.
+
+      Coordinates range from the top-left corner (0, 0) to the bottom-right corner
+      (5, 5).
+
+      Beware that the ice is slippery, so the agent might slide and end up in an unintended
+      tile.
+
+      Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
+
+      '
+    max_tokens: 120
+    env_config:
+      observation_format: grid_coord
+  MetamathQA:
+    env_type: metamathqa
+    max_actions_per_traj: 1
+    env_instruction: 'You are solving Math problems. '
+    max_tokens: 100
+    env_config: null
+  WebShop:
+    env_type: webshop
+    max_actions_per_traj: 9
+    env_instruction: 'You are browsing an online shop. Based on the instruction, buy
+      a product that close to the production description. You need to search, read
+      the search results, pick a product, choose the size and color and buy. You should
+      only choose action from the available actions list provided later.  Example
+      process: I need a gingko light and 20x20 pillow cover that is hand painted.
+      First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket
+      with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
+    max_tokens: 200
+    env_config:
+      dataset: small
+  Lean:
+    env_type: lean
+    max_actions_per_traj: 30
+    env_instruction: You are a Lean theorem prover. Given a Lean theorem statement,
+      propose a sequence of tactics that completes the proof. Think step by step about
+      which tactics to apply next. Provide tactics separated by '||', for example
+      <answer>intro || simp || rfl</answer>.
+    max_tokens: 512
+    env_config: null
+system:
+  CUDA_VISIBLE_DEVICES: 3
+seed:
+  train: 10000
+  val: 123
+micro_batch_size_per_gpu: 4
+ppo_mini_batch_size: 32
+model_path: /mnt/general/wanghy/RAGEN_1111/saves/global_step_200/actor_hf_qwen
+enable_response_mask: true
+grpo_advantage_length_weight: false
+lora:
+  rank: 0
+  alpha: 64
+  target_modules: all-linear
+agent_proxy:
+  max_context_window: -1
+  max_turn: 5
+  action_sep: '||'
+  max_actions_per_turn: 2
+  use_turn_scores: false
+  enable_think: true
+  reward_normalization:
+    grouping: state
+    method: identity
+es_manager:
+  format_penalty: -0.1
+  train:
+    env_groups: 8
+    group_size: 16
+    env_configs:
+      tags:
+      - CoordFrozenLake
+      n_groups:
+      - 8
+  val:
+    env_groups: 32
+    group_size: 16
+    env_configs:
+      tags:
+      - CoordFrozenLake
+      n_groups:
+      - 32
+ctx_manager:
+  generation:
+    gen_config:
+      response_length: ${actor_rollout_ref.rollout.response_length}
+      temperature: ${actor_rollout_ref.rollout.temperature}
+      top_p: ${actor_rollout_ref.rollout.top_p}
+      top_k: ${actor_rollout_ref.rollout.top_k}
+      kwargs: null

outputs/2025-11-17/14-54-16/.hydra/hydra.yaml

@@ -0,0 +1,176 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - system.CUDA_VISIBLE_DEVICES=3
+    - trainer.experiment_name=frozen_lake-ppo
+    - algorithm.adv_estimator=gae
+    - algorithm.kl_ctrl.kl_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.clip_ratio_high=0.2
+    - actor_rollout_ref.rollout.rollout_filter_ratio=1
+  job:
+    name: train
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.clip_ratio_high=0.2,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.rollout.rollout_filter_ratio=1,algorithm.adv_estimator=gae,algorithm.kl_ctrl.kl_coef=0.001,system.CUDA_VISIBLE_DEVICES=3,trainer.experiment_name=frozen_lake-ppo
+    id: ???
+    num: ???
+    config_name: _3_frozen_lake
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/general/wanghy/RAGEN
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/general/wanghy/RAGEN/config
+      schema: file
+      provider: main
+    - path: /mnt/general/wanghy/RAGEN/verl/verl/trainer/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/general/wanghy/RAGEN/outputs/2025-11-17/14-54-16
+    choices:
+      reward_model: dp_reward_model
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2025-11-17/14-54-16/.hydra/overrides.yaml

@@ -0,0 +1,7 @@
+- system.CUDA_VISIBLE_DEVICES=3
+- trainer.experiment_name=frozen_lake-ppo
+- algorithm.adv_estimator=gae
+- algorithm.kl_ctrl.kl_coef=0.001
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.clip_ratio_high=0.2
+- actor_rollout_ref.rollout.rollout_filter_ratio=1