Upload PPO LunarLander-v2 trained agent 2M

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 128.72 +/- 81.62
+      value: 273.85 +/- 20.21
       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 0x7fd59a9b9940>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd59a9b99d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd59a9b9a60>", "_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": 492,
     "n_steps": 1024,
-    "gamma": 0.999,
-    "gae_lambda": 0.999,
-    "ent_coef": 0.05,
+    "gamma": 0.998,
+    "gae_lambda": 0.98,
+    "ent_coef": 0.01,
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
-    "batch_size": 64,
+    "batch_size": 32,
     "n_epochs": 4,
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results.json

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