Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -11.33 +/- 133.53
+      value: 253.95 +/- 22.83
       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 0x7f117deeae50>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f117deeaee0>", "reset_noise": 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"
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tliL5SgVnQJSGlFKUaBVN6ANoFkdAmYjE56t1ZHV9lChoBmgJaA9DCOm3rwPnoGZAlIaUUpRoFU3oA2gWR0CZjERdQfp2dX2UKGgGaAloD0MIwvuqXCiYZkCUhpRSlGgVTegDaBZHQJmNN6rvLHN1fZQoaAZoCWgPQwh3n+OjxSJlQJSGlFKUaBVN6ANoFkdAmY3bVOKwZHV9lChoBmgJaA9DCJ0Rpb3Bs0BAlIaUUpRoFUumaBZHQJmQxLSNOud1fZQoaAZoCWgPQwjYtiizQUFjQJSGlFKUaBVN6ANoFkdAmZG3KKYRd3V9lChoBmgJaA9DCPqbUIgAA25AlIaUUpRoFU0kAmgWR0CZlN0cwQDndX2UKGgGaAloD0MIeuHOhRFiZECUhpRSlGgVTegDaBZHQJmWjGbTc7B1fZQoaAZoCWgPQwjHuriNBgJpQJSGlFKUaBVN6ANoFkdAmZavBi1Aq3V9lChoBmgJaA9DCC2xMhr5fWNAlIaUUpRoFU3oA2gWR0CZnnp0OmSAdX2UKGgGaAloD0MI+BkXDoRSbkCUhpRSlGgVTZADaBZHQJmfOZeAuqZ1fZQoaAZoCWgPQwhbKJmcWnFoQJSGlFKUaBVN6ANoFkdAmaAu5J9RaXVlLg=="
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 28,
+    "_n_updates": 248,
     "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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