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README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 234.16 +/- 83.90
+      value: 286.00 +/- 18.28
       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 0x7f860a1ed790>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f860a1ed820>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f860a1ed8b0>", "_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": 228,
+    "_n_updates": 414,
     "n_steps": 2048,
     "gamma": 0.999,
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results.json

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