Initial Commit

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+replay.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -16,7 +16,7 @@ model-index:
       type: HalfCheetahBulletEnv-v0
     metrics:
     - type: mean_reward
-      value: 2169.24 +/- 35.66
+      value: 2457.48 +/- 33.74
       name: mean_reward
       verified: false
 ---

a2c-HalfCheetahBulletEnv-v0.zip

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a2c-HalfCheetahBulletEnv-v0/data

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It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f9f38d17790>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9f38d17820>", "reset_noise": 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In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f9f38d17790>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9f38d17820>", "reset_noise": 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results.json

@@ -1 +1 @@
-{"mean_reward": 2169.2399102199824, "std_reward": 35.66362844986298, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-19T18:33:46.071309"}
+{"mean_reward": 2457.481853193231, "std_reward": 33.743677490868855, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-19T21:54:53.041993"}

vec_normalize.pkl

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+oid sha256:01ba98d16568160911c95cff6eeb3bf48a5e9c3894f7d0acd3607cba7c84c849
 size 2090