Better model

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -521.97 +/- 149.88
+      value: 293.61 +/- 20.43
       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 0x7fc05854ad30>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fc05854adc0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fc05854ae50>", "_build_mlp_extractor": "<function 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+    "_n_updates": 2490,
     "n_steps": 2048,
     "gamma": 0.99,
     "gae_lambda": 0.95,

rocket_2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:87f28ee7d7961fc62ad24a4f06d823afe8e8b744f84400795003099af763d644
+oid sha256:b3e7db95e030295cae59278f9e5f9cf6b8f1bf75af92d5f0de1ce69ead88943d
 size 87929

rocket_2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1f193cbe1e3d75f554d11f1dfecaf102d3b3328c602a52e05fa2a6caa52c8f7c
 size 43201