Updated model

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 244.71 +/- 45.51
+      value: 245.09 +/- 49.65
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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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 0x7e8e13856980>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e8e13856a20>", "reset_noise": 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It allows to keep variance\n        above zero and prevent it from growing too fast. 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-        "_build": "<function ActorCriticPolicy._build at 0x7e8e13856c00>",
-        "forward": "<function ActorCriticPolicy.forward at 0x7e8e13856ca0>",
-        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e8e13856d40>",
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-        "_predict": "<function ActorCriticPolicy._predict at 0x7e8e13856e80>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e8e13856f20>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e8e13856fc0>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e8e13857060>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7eb66892a700>",
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+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7eb66892a840>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7eb66892a8e0>",
+        "_build": "<function ActorCriticPolicy._build at 0x7eb66892a980>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7eb66892aa20>",
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     "seed": null,
     "action_noise": null,
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-    "learning_rate": 0.0003,
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results.json

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