PierreCounathe's picture
Push first LunarLander to Hugging Face hub
4a25688
raw
history blame
14.6 kB
{
"policy_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
"__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 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 ",
"__init__": "<function ActorCriticPolicy.__init__ at 0x7f10dfe8c0d0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f10dfe8c160>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f10dfe8c1f0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f10dfe8c280>",
"_build": "<function ActorCriticPolicy._build at 0x7f10dfe8c310>",
"forward": "<function ActorCriticPolicy.forward at 0x7f10dfe8c3a0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f10dfe8c430>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f10dfe8c4c0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f10dfe8c550>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f10dfe8c5e0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f10dfe8c670>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f10dfe8c700>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7f10dfe8f180>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
8
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf]",
"bounded_below": "[False False False False False False False False]",
"bounded_above": "[False False False False False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 114688,
"_total_timesteps": 100000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1678315706873833094,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "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"
},
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.1468799999999999,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 32,
"n_steps": 1024,
"gamma": 0.999,
"gae_lambda": 0.98,
"ent_coef": 0.01,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 64,
"n_epochs": 4,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}