Upload PPO LunarLander-v2 trained agent

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 149.49 +/- 85.41
+      value: 194.42 +/- 64.10
       name: mean_reward
     task:
       type: reinforcement-learning

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 0x7f577127dc20>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f577127dcb0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f577127dd40>", "_build_mlp_extractor": "<function 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"
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     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 124,
+    "_n_updates": 125,
     "n_steps": 1024,
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