test commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -158.27 +/- 59.51
+      value: 44.82 +/- 141.65
       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 0x7f9bc1e88430>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9bc1e884c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f9bc1e88550>", "_build_mlp_extractor": "<function 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"
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     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 4,
+    "_n_updates": 128,
     "n_steps": 1024,
     "gamma": 0.999,
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ppo-LunarLander-v2/policy.optimizer.pth

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results.json

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