First attempt at uploading to Huggingface

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 243.34 +/- 16.15
+      value: 294.41 +/- 17.77
       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 0x7f70c4d2a040>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f70c4d2a0d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f70c4d2a160>", "_build_mlp_extractor": "<function 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results.json

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test.zip

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+size 146070

test/_stable_baselines3_version

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-1.6.2
+1.4.0

test/data

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         "__module__": "stable_baselines3.common.policies",
         "__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 sde_net_arch: Network architecture for extracting features\n        when using gSDE. 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    ",
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test/policy.optimizer.pth

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-oid sha256:b5b2483a9b8f1b55f6118bf1bae8c29822d881b730571d1a1e1ded96d8bd0bb7
-size 87929
+oid sha256:0075b71e1a26afddd9eadc222d99c06053e6512792522aea050978981f86a9b1
+size 88057

test/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5aa84b7ab0ea77643017205ed8e32859773d96c2feeab4339d23c8924793c7a4
+oid sha256:7bc6afc2192e087472c24bc19b34102a45eb030066f90c0a570c69fa568b6fca
 size 43201

test/system_info.txt

@@ -1,7 +1,7 @@
-OS: Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022
-Python: 3.8.16
-Stable-Baselines3: 1.6.2
-PyTorch: 1.13.0+cu116
+OS: Linux-5.15.0-56-generic-x86_64-with-glibc2.31 #62~20.04.1-Ubuntu SMP Tue Nov 22 21:24:20 UTC 2022
+Python: 3.11.1
+Stable-Baselines3: 1.4.0
+PyTorch: 1.13.1+cu117
 GPU Enabled: True
-Numpy: 1.21.6
-Gym: 0.21.0
+Numpy: 1.24.1
+Gym: 0.19.0