Update app.py

app.py

@@ -132,7 +132,7 @@ def certification(hf_username):
           "env": "LunarLander-v2",
           "library": "stable-baselines3",
           "min_result": 200,
-          "best_result": 0,
+          "best_result": 220,
           "best_model_id": "",
           "passed_": False
       },
@@ -141,7 +141,7 @@ def certification(hf_username):
           "env": "Taxi-v3",
           "library": "q-learning",
           "min_result": 4,
-          "best_result": 0,
+          "best_result": 5,
           "best_model_id": "",
           "passed_": False
   },
@@ -150,7 +150,7 @@ def certification(hf_username):
           "env": "SpaceInvadersNoFrameskip-v4",
           "library": "stable-baselines3",
           "min_result": 200,
-          "best_result": 0,
+          "best_result": 220,
           "best_model_id": "",
           "passed_": False
   },
@@ -159,7 +159,7 @@ def certification(hf_username):
           "env": "CartPole-v1",
           "library": "reinforce",
           "min_result": 350,
-          "best_result": 0,
+          "best_result": 370,
           "best_model_id": "",
           "passed_": False
   },
@@ -168,7 +168,7 @@ def certification(hf_username):
           "env": "Pixelcopter-PLE-v0",
           "library": "reinforce",
           "min_result": 5,
-          "best_result": 0,
+          "best_result": 10,
           "best_model_id": "",
           "passed_": False
     },
@@ -177,7 +177,7 @@ def certification(hf_username):
           "env": "ML-Agents-SnowballTarget",
           "library": "ml-agents",
           "min_result": -100,
-          "best_result": 0,
+          "best_result": 110,
           "best_model_id": "",
           "passed_": False
     },
@@ -186,7 +186,7 @@ def certification(hf_username):
           "env": "ML-Agents-Pyramids",
           "library": "ml-agents",
           "min_result": -100,
-          "best_result": 0,
+          "best_result": 110,
           "best_model_id": "",
           "passed_": False
     },
@@ -195,7 +195,7 @@ def certification(hf_username):
           "env": "PandaReachDense",
           "library": "stable-baselines3",
           "min_result": -3.5,
-          "best_result": 0,
+          "best_result": 1.0,
           "best_model_id": "",
           "passed_": False
     },
@@ -204,7 +204,7 @@ def certification(hf_username):
           "env": "ML-Agents-SoccerTwos",
           "library": "ml-agents",
           "min_result": -100,
-          "best_result": 0,
+          "best_result": 110,
           "best_model_id": "",
           "passed_": False
     },
@@ -213,7 +213,7 @@ def certification(hf_username):
           "env": "LunarLander-v2",
           "library": "deep-rl-course",
           "min_result": -500,
-          "best_result": 0,
+          "best_result": 110,
           "best_model_id": "",
           "passed_": False
     },
@@ -222,7 +222,7 @@ def certification(hf_username):
           "env": "doom_health_gathering_supreme",
           "library": "sample-factory",
           "min_result": 5,
-          "best_result": 0,
+          "best_result": 10,
           "best_model_id": "",
           "passed_": False
     },