Push LunarLander-v2 model for RL course

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 250.43 +/- 25.35
+      value: 271.42 +/- 22.50
       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 0x7f345a7990d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f345a799160>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f345a7991f0>", "_build_mlp_extractor": "<function 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"
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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 248,
+    "_n_updates": 736,
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