Upload PPO BipedalWalker-v3 trained agent

BipedalWalker-v3.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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BipedalWalker-v3/data

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     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -41,17 +41,17 @@
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     "use_sde": false,
     "sde_sample_freq": -1,
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     "_stats_window_size": 100,
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BipedalWalker-v3/policy.optimizer.pth

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 version https://git-lfs.github.com/spec/v1
-oid sha256:fe480b1affd3f12c7bdbfa38d90e0efaa46541ee8bdb46a0ccd1a14548f3760f
+oid sha256:b5e0eaa18f05b5a4966dfca2d7f6d3070bbf94fd7c4ab0579171f035e846cdbd
 size 105121

BipedalWalker-v3/policy.pth

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 version https://git-lfs.github.com/spec/v1
-oid sha256:2cd9fbe0b5642c693800623b3c04934011be739d37d15f644055770befea5a76
+oid sha256:19c71bfbc386ad6eaf2f44f9a30832f74e078a5c604dd439ccf3b4435ef97d42
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README.md

@@ -16,7 +16,7 @@ model-index:
       type: BipedalWalker-v3
     metrics:
     - type: mean_reward
-      value: -56.38 +/- 0.22
+      value: -26.06 +/- 10.56
       name: mean_reward
       verified: false
 ---

config.json

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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 0x7e38025c36d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e38025c3760>", "reset_noise": 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results.json

@@ -1 +1 @@
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