Improved PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 258.10 +/- 22.97
+      value: 280.02 +/- 17.90
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n        a positive standard deviation (cf paper). 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 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 0x7fab2f99c040>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fab2f99c0d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fab2f99c160>", "_build_mlp_extractor": "<function 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"
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"
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     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 248,
+    "_n_updates": 984,
     "n_steps": 1024,
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results.json

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