Push LunarLander-v2 model

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 263.02 +/- 21.02
+      value: 277.81 +/- 26.55
       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 0x7f5f02b371f0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f5f02b37280>", "reset_noise": 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         "__doc__": "\n    Policy class for actor-critic algorithms (has both policy and value prediction).\n    Used by A2C, PPO and the likes.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param ortho_init: Whether to use or not orthogonal initialization\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param full_std: Whether to use (n_features x n_actions) parameters\n        for the std instead of only (n_features,) when using gSDE\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 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    ",
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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
+        ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 248,
+    "_n_updates": 368,
     "n_steps": 1024,
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-- OS: Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022
-- Python: 3.9.16
+- OS: Linux-5.15.89+-x86_64-with-debian-bullseye-sid # 1 SMP Sat Mar 25 09:11:42 UTC 2023
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