Train 2 mills

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 233.00 +/- 32.50
+      value: 274.70 +/- 14.12
       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 0x7f10170d4820>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f10170d48b0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f10170d4940>", "_build_mlp_extractor": "<function 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"
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"
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     "ep_success_buffer": {
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         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 248,
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crazy_lunar_bot/policy.pth

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results.json

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-{"mean_reward": 232.9955540963628, "std_reward": 32.495637367702344, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-10T14:39:43.629011"}
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