adding sg

sg/antmaze-medium-diverse-v0/0/eddie-ucsb-rlkit

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+Subproject commit 2e99692e82cee0bace25b205f8552b240c65f1c9

sg/antmaze-medium-diverse-v0/0/experiment.pkl

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sg/antmaze-medium-diverse-v0/0/git_infos.txt

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+directory: /local/home/jiachen_li/eddie-ucsb-rlkit
+git hash: 2e99692e82cee0bace25b205f8552b240c65f1c9
+git branch name: [DETACHED]
+

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sg/antmaze-medium-diverse-v0/0/local-home-jiachen_li-eddie-ucsb-rlkit.patch

@@ -0,0 +1,100 @@
+diff --git a/src/rlkit/conf.py b/src/rlkit/conf.py
+index a462e41..9027679 100644
+--- a/src/rlkit/conf.py
++++ b/src/rlkit/conf.py
+@@ -15,6 +15,7 @@ except ImportError:
+     DEBUG = False
+ 
+ 
++
+ class CheckpointParams:
+     checkpoint_path = "/local/home/jiachen_li/final-models"
+ 
+diff --git a/src/rlkit/entrypoint/variants/variant_bc.py b/src/rlkit/entrypoint/variants/variant_bc.py
+index 7e97da6..cef21b0 100644
+--- a/src/rlkit/entrypoint/variants/variant_bc.py
++++ b/src/rlkit/entrypoint/variants/variant_bc.py
+@@ -9,7 +9,6 @@ from rlkit.data_management.env_replay_buffer import EnvReplayBuffer
+ from rlkit.policies.gaussian_policy import TanhGaussianMixturePolicy, TanhGaussianPolicy
+ from rlkit.torch.algorithms.bc import BCPipeline, BCTrainer, MixedBCPipeline
+ from torch.nn import functional as F
+-import torch.optim as optim
+ from rlkit.torch.algorithms.bc import (
+     BCPipeline,
+     BCWithValPipeline,
+@@ -18,8 +17,12 @@ from rlkit.torch.algorithms.bc import (
+ )
+ 
+ 
++class Three256(PolicyKwargs):
++    hidden_sizes = [256, 256, 256]
++
++
+ class BCAlgoKwargs(OfflineAlgoKwargs):
+-    start_epoch = -int(600)
++    start_epoch = -int(1000)
+     num_eval_steps_per_epoch = 1000
+     num_epochs = 0
+ 
+@@ -30,13 +33,14 @@ class BCTrainerKwargs(TrainerKwargs):
+ 
+ class BCVariant(OfflineSarsaVariant):
+     algorithm = "behavior-cloning"
+-    version = "normalized-andrew"
++    version = "normalized-256-256-256"
+ 
+     replay_buffer_class = w(EnvReplayBuffer)
+     normalize_env = True
+     policy_class = w(TanhGaussianPolicy)
+     algorithm_kwargs = BCAlgoKwargs()
+     trainer_kwargs = BCTrainerKwargs()
++    policy_kwargs = Three256()
+ 
+     trainer_cls = w(BCTrainer)
+     pipeline = w(BCPipeline)
+@@ -53,9 +57,8 @@ class FourGaussianPolicyKwargs(PolicyKwargs):
+     num_gaussians = 4
+ 
+ 
+-class ThreeLayerTwoGaussianPolicyKwargs(PolicyKwargs):
++class ThreeLayerTwoGaussianPolicyKwargs(Three256):
+     num_gaussians = 2
+-    hidden_sizes = [256, 256, 256]
+ 
+ 
+ class MGBCVariant(BCVariant):
+@@ -67,8 +70,7 @@ class MGBCVariant(BCVariant):
+     policy_class = w(TanhGaussianMixturePolicy)
+ 
+ 
+-class ThreeLayerFourGaussianPolicyKwargs(FourGaussianPolicyKwargs):
+-    hidden_sizes = [256, 256, 256]
++class ThreeLayerFourGaussianPolicyKwargs(Three256):
+     num_gaussians = 4
+ 
+ 
+@@ -94,7 +96,7 @@ class MGBCNormalizeWithValVariant(MGBCVariant):
+ 
+ class TwoGaussianMGBCNormalizeVariant(MGBCVariant):
+     normalize_env = True
+-    version = "2-gaussian-3-layers-normalize-env-all-data"
++    version = "2g-normalize-env-all-data"
+     env_id = "hopper-medium-v2"
+     seed = 0
+ 
+diff --git a/src/rlkit/entrypoint/variants/variant_sarsa_iqn.py b/src/rlkit/entrypoint/variants/variant_sarsa_iqn.py
+index c0ea1bf..97a5e98 100644
+--- a/src/rlkit/entrypoint/variants/variant_sarsa_iqn.py
++++ b/src/rlkit/entrypoint/variants/variant_sarsa_iqn.py
+@@ -29,9 +29,9 @@ class SarsaIQNTrainerKwargs(TrainerKwargs):
+ class SarsaNormalizeIQNVariant(OfflineSarsaVariant):
+     algorithm = "sarsa-iqn"
+     version = "normalize-env"
+-    env_id = "antmaze-umaze-v0"
++    env_id = "antmaze-medium-diverse-v0"
+     normalize_env = True
+-    seed = 2
++    seed = 6
+ 
+     qf_class = w(QuantileMlp)
+     qf_kwargs = QuantileMLPKwargs()

sg/antmaze-medium-diverse-v0/0/params.pt

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+size 582855

sg/antmaze-medium-diverse-v0/0/stderr.out

@@ -0,0 +1,18 @@
+wandb: Currently logged in as: mdsac (use `wandb login --relogin` to force relogin)
+wandb: wandb version 0.12.16 is available!  To upgrade, please run:
+wandb:  $ pip install wandb --upgrade
+wandb: Tracking run with wandb version 0.12.15
+wandb: Run data is saved locally in /local/home/jiachen_li/eddie-ucsb-rlkit/wandb/run-20220510_131038-30n37xk7
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run seed-0
+wandb: ⭐️ View project at https://wandb.ai/mdsac/rlkit
+wandb: 🚀 View run at https://wandb.ai/mdsac/rlkit/runs/30n37xk7
+/local/home/jiachen_li/.miniconda3/envs/eddie-rlkit/lib/python3.7/site-packages/gym/envs/registration.py:506: UserWarning: WARN: The environment antmaze-medium-diverse-v0 is out of date. You should consider upgrading to version `v2` with the environment ID `antmaze-medium-diverse-v2`.
+  f"The environment {path} is out of date. You should consider "
+/local/home/jiachen_li/.miniconda3/envs/eddie-rlkit/lib/python3.7/site-packages/d4rl/locomotion/ant.py:180: UserWarning: This environment is deprecated. Please use the most recent version of this environment.
+  offline_env.OfflineEnv.__init__(self, **kwargs)
+/local/home/jiachen_li/.miniconda3/envs/eddie-rlkit/lib/python3.7/site-packages/gym/spaces/box.py:84: UserWarning: WARN: Box bound precision lowered by casting to float32
+  logger.warn(f"Box bound precision lowered by casting to {self.dtype}")
+/local/home/jiachen_li/.miniconda3/envs/eddie-rlkit/lib/python3.7/site-packages/gym/core.py:173: DeprecationWarning: WARN: Function `env.seed(seed)` is marked as deprecated and will be removed in the future. Please use `env.reset(seed=seed) instead.
+  "Function `env.seed(seed)` is marked as deprecated and will be removed in the future. "
+

sg/antmaze-medium-diverse-v0/0/variant.json

@@ -0,0 +1,65 @@
+{
+  "alg_class": {
+    "$class": "rlkit.torch.torch_rl_algorithm.OfflineTorchBatchRLAlgorithm"
+  },
+  "algorithm": "behavior-cloning",
+  "algorithm_kwargs": {
+    "batch_size": 512,
+    "max_path_length": 1000,
+    "num_epochs": 0,
+    "num_eval_steps_per_epoch": 1000,
+    "num_trains_per_train_loop": 1000,
+    "start_epoch": -1000
+  },
+  "d4rl": true,
+  "env_id": "antmaze-medium-diverse-v0",
+  "normalize_env": true,
+  "path_loader_kwargs": {},
+  "pipeline": {
+    "$class": "rlkit.launchers.pipeline.<Pipeline offline_sac_experiment>:\noffline_init,\ncreate_eval_env,\ncreate_dataset_next_actions,\noptionally_normalize_dataset,\ncreate_policy,\ncreate_trainer,\ncreate_eval_policy,\ncreate_eval_path_collector,\ncreate_replay_buffer,\ncreate_algorithm,\nload_demos,\ntrain"
+  },
+  "policy_class": {
+    "$class": "rlkit.policies.gaussian_policy.TanhGaussianPolicy"
+  },
+  "policy_kwargs": {
+    "hidden_sizes": [
+      256,
+      256,
+      256
+    ]
+  },
+  "qf_class": {
+    "$class": "rlkit.torch.networks.mlp.ConcatMlp"
+  },
+  "qf_kwargs": {
+    "hidden_sizes": [
+      1024,
+      1024
+    ]
+  },
+  "replay_buffer_class": {
+    "$class": "rlkit.data_management.env_replay_buffer.EnvReplayBuffer"
+  },
+  "replay_buffer_size": 2000000,
+  "rollout_fn": {
+    "$function": "rlkit.samplers.rollout_functions.rollout"
+  },
+  "seed": 0,
+  "snapshot_gap": 100,
+  "snapshot_mode": "gap_and_last",
+  "trainer_class": {
+    "$class": "rlkit.torch.torch_rl_algorithm.TorchTrainer"
+  },
+  "trainer_cls": {
+    "$class": "rlkit.torch.algorithms.bc.BCTrainer"
+  },
+  "trainer_kwargs": {
+    "discount": 0.99,
+    "policy_lr": 0.0001,
+    "qf_lr": 0.0001,
+    "reward_scale": 1,
+    "soft_target_tau": 0.005,
+    "target_update_period": 1
+  },
+  "version": "normalized-256-256-256"
+}

sg/antmaze-medium-diverse-v0/1/eddie-ucsb-rlkit

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+Subproject commit 2e99692e82cee0bace25b205f8552b240c65f1c9

sg/antmaze-medium-diverse-v0/1/experiment.pkl

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sg/antmaze-medium-diverse-v0/1/git_infos.txt

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+directory: /local/home/jiachen_li/eddie-ucsb-rlkit
+git hash: 2e99692e82cee0bace25b205f8552b240c65f1c9
+git branch name: [DETACHED]
+

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sg/antmaze-medium-diverse-v0/1/itr_400.pt

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sg/antmaze-medium-diverse-v0/1/itr_500.pt

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sg/antmaze-medium-diverse-v0/1/itr_600.pt

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sg/antmaze-medium-diverse-v0/1/itr_700.pt

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sg/antmaze-medium-diverse-v0/1/itr_800.pt

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sg/antmaze-medium-diverse-v0/1/itr_900.pt

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sg/antmaze-medium-diverse-v0/1/local-home-jiachen_li-eddie-ucsb-rlkit.patch

@@ -0,0 +1,100 @@
+diff --git a/src/rlkit/conf.py b/src/rlkit/conf.py
+index a462e41..9027679 100644
+--- a/src/rlkit/conf.py
++++ b/src/rlkit/conf.py
+@@ -15,6 +15,7 @@ except ImportError:
+     DEBUG = False
+ 
+ 
++
+ class CheckpointParams:
+     checkpoint_path = "/local/home/jiachen_li/final-models"
+ 
+diff --git a/src/rlkit/entrypoint/variants/variant_bc.py b/src/rlkit/entrypoint/variants/variant_bc.py
+index 7e97da6..cef21b0 100644
+--- a/src/rlkit/entrypoint/variants/variant_bc.py
++++ b/src/rlkit/entrypoint/variants/variant_bc.py
+@@ -9,7 +9,6 @@ from rlkit.data_management.env_replay_buffer import EnvReplayBuffer
+ from rlkit.policies.gaussian_policy import TanhGaussianMixturePolicy, TanhGaussianPolicy
+ from rlkit.torch.algorithms.bc import BCPipeline, BCTrainer, MixedBCPipeline
+ from torch.nn import functional as F
+-import torch.optim as optim
+ from rlkit.torch.algorithms.bc import (
+     BCPipeline,
+     BCWithValPipeline,
+@@ -18,8 +17,12 @@ from rlkit.torch.algorithms.bc import (
+ )
+ 
+ 
++class Three256(PolicyKwargs):
++    hidden_sizes = [256, 256, 256]
++
++
+ class BCAlgoKwargs(OfflineAlgoKwargs):
+-    start_epoch = -int(600)
++    start_epoch = -int(1000)
+     num_eval_steps_per_epoch = 1000
+     num_epochs = 0
+ 
+@@ -30,13 +33,14 @@ class BCTrainerKwargs(TrainerKwargs):
+ 
+ class BCVariant(OfflineSarsaVariant):
+     algorithm = "behavior-cloning"
+-    version = "normalized-andrew"
++    version = "normalized-256-256-256"
+ 
+     replay_buffer_class = w(EnvReplayBuffer)
+     normalize_env = True
+     policy_class = w(TanhGaussianPolicy)
+     algorithm_kwargs = BCAlgoKwargs()
+     trainer_kwargs = BCTrainerKwargs()
++    policy_kwargs = Three256()
+ 
+     trainer_cls = w(BCTrainer)
+     pipeline = w(BCPipeline)
+@@ -53,9 +57,8 @@ class FourGaussianPolicyKwargs(PolicyKwargs):
+     num_gaussians = 4
+ 
+ 
+-class ThreeLayerTwoGaussianPolicyKwargs(PolicyKwargs):
++class ThreeLayerTwoGaussianPolicyKwargs(Three256):
+     num_gaussians = 2
+-    hidden_sizes = [256, 256, 256]
+ 
+ 
+ class MGBCVariant(BCVariant):
+@@ -67,8 +70,7 @@ class MGBCVariant(BCVariant):
+     policy_class = w(TanhGaussianMixturePolicy)
+ 
+ 
+-class ThreeLayerFourGaussianPolicyKwargs(FourGaussianPolicyKwargs):
+-    hidden_sizes = [256, 256, 256]
++class ThreeLayerFourGaussianPolicyKwargs(Three256):
+     num_gaussians = 4
+ 
+ 
+@@ -94,7 +96,7 @@ class MGBCNormalizeWithValVariant(MGBCVariant):
+ 
+ class TwoGaussianMGBCNormalizeVariant(MGBCVariant):
+     normalize_env = True
+-    version = "2-gaussian-3-layers-normalize-env-all-data"
++    version = "2g-normalize-env-all-data"
+     env_id = "hopper-medium-v2"
+     seed = 0
+ 
+diff --git a/src/rlkit/entrypoint/variants/variant_sarsa_iqn.py b/src/rlkit/entrypoint/variants/variant_sarsa_iqn.py
+index c0ea1bf..97a5e98 100644
+--- a/src/rlkit/entrypoint/variants/variant_sarsa_iqn.py
++++ b/src/rlkit/entrypoint/variants/variant_sarsa_iqn.py
+@@ -29,9 +29,9 @@ class SarsaIQNTrainerKwargs(TrainerKwargs):
+ class SarsaNormalizeIQNVariant(OfflineSarsaVariant):
+     algorithm = "sarsa-iqn"
+     version = "normalize-env"
+-    env_id = "antmaze-umaze-v0"
++    env_id = "antmaze-medium-diverse-v0"
+     normalize_env = True
+-    seed = 2
++    seed = 6
+ 
+     qf_class = w(QuantileMlp)
+     qf_kwargs = QuantileMLPKwargs()

sg/antmaze-medium-diverse-v0/1/params.pt

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+size 582855

sg/antmaze-medium-diverse-v0/1/stderr.out

@@ -0,0 +1,18 @@
+wandb: Currently logged in as: mdsac (use `wandb login --relogin` to force relogin)
+wandb: wandb version 0.12.16 is available!  To upgrade, please run:
+wandb:  $ pip install wandb --upgrade
+wandb: Tracking run with wandb version 0.12.15
+wandb: Run data is saved locally in /local/home/jiachen_li/eddie-ucsb-rlkit/wandb/run-20220510_131040-5nv14p40
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run seed-1
+wandb: ⭐️ View project at https://wandb.ai/mdsac/rlkit
+wandb: 🚀 View run at https://wandb.ai/mdsac/rlkit/runs/5nv14p40
+/local/home/jiachen_li/.miniconda3/envs/eddie-rlkit/lib/python3.7/site-packages/gym/envs/registration.py:506: UserWarning: WARN: The environment antmaze-medium-diverse-v0 is out of date. You should consider upgrading to version `v2` with the environment ID `antmaze-medium-diverse-v2`.
+  f"The environment {path} is out of date. You should consider "
+/local/home/jiachen_li/.miniconda3/envs/eddie-rlkit/lib/python3.7/site-packages/d4rl/locomotion/ant.py:180: UserWarning: This environment is deprecated. Please use the most recent version of this environment.
+  offline_env.OfflineEnv.__init__(self, **kwargs)
+/local/home/jiachen_li/.miniconda3/envs/eddie-rlkit/lib/python3.7/site-packages/gym/spaces/box.py:84: UserWarning: WARN: Box bound precision lowered by casting to float32
+  logger.warn(f"Box bound precision lowered by casting to {self.dtype}")
+/local/home/jiachen_li/.miniconda3/envs/eddie-rlkit/lib/python3.7/site-packages/gym/core.py:173: DeprecationWarning: WARN: Function `env.seed(seed)` is marked as deprecated and will be removed in the future. Please use `env.reset(seed=seed) instead.
+  "Function `env.seed(seed)` is marked as deprecated and will be removed in the future. "
+

sg/antmaze-medium-diverse-v0/1/variant.json

@@ -0,0 +1,65 @@
+{
+  "alg_class": {
+    "$class": "rlkit.torch.torch_rl_algorithm.OfflineTorchBatchRLAlgorithm"
+  },
+  "algorithm": "behavior-cloning",
+  "algorithm_kwargs": {
+    "batch_size": 512,
+    "max_path_length": 1000,
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+      1024
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+  "snapshot_gap": 100,
+  "snapshot_mode": "gap_and_last",
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+    "reward_scale": 1,
+    "soft_target_tau": 0.005,
+    "target_update_period": 1
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