Push LunarLander-v2 Model

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 190.57 +/- 82.51
+      value: 271.43 +/- 25.15
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7fe89ed2c4c0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fe89ed2c550>", "reset_noise": 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     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
@@ -78,8 +78,8 @@
     },
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     "max_grad_norm": 0.5,

ppo_LunarLander-v2/policy.optimizer.pth

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+oid sha256:677c2b219c177983bbd45bd0a204a3ce9eda4d6f1bc4706d49e466298fb430e8
 size 87929

ppo_LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 43393

results.json

@@ -1 +1 @@
-{"mean_reward": 190.57090390375623, "std_reward": 82.5129853918501, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-12T03:47:07.841712"}
+{"mean_reward": 271.4259431871139, "std_reward": 25.14886343366419, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-12T04:17:17.708467"}