nosark commited on
Commit
37853aa
1 Parent(s): 1e60e9b

Upload PPO LunarLander-v2 trained agent to HuggingFace

Browse files
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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- value: 213.39 +/- 80.78
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  name: mean_reward
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  verified: false
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  ---
 
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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+ value: 153.01 +/- 123.49
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  name: mean_reward
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  verified: false
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  ---
config.json CHANGED
@@ -1 +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 0x7e015df34550>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e015df345e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e015df34670>", 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- "_n_updates": 5862,
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  "observation_space": {
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@@ -80,14 +80,14 @@
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  "n_steps": 1024,
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  "gamma": 0.999,
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  "gae_lambda": 0.98,
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- "ent_coef": 0.01,
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  "vf_coef": 0.5,
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  "max_grad_norm": 0.5,
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  "batch_size": 64,
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- "n_epochs": 6,
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  "clip_range": {
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  ":type:": "<class 'function'>",
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  },
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  "clip_range_vf": null,
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  "normalize_advantage": true,
 
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  "_num_timesteps_at_start": 0,
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  "seed": null,
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  "action_noise": null,
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+ "start_time": 1703930101088580573,
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  "learning_rate": 0.0006,
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  "tensorboard_log": null,
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  "_last_obs": {
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  ":type:": "<class 'numpy.ndarray'>",
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+ ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAJrvUz4UkoM/NU7NvQ89hL6dfkw99j8MvgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="
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  },
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  "_last_episode_starts": {
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  ":type:": "<class 'numpy.ndarray'>",
 
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  "_stats_window_size": 100,
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  "ep_info_buffer": {
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  ":type:": "<class 'collections.deque'>",
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  },
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  "ep_success_buffer": {
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  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
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  },
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+ "_n_updates": 4885,
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  "observation_space": {
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