| { |
| "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 0x7fd0211e0dc0>", |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd0211e0e50>", |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd0211e0ee0>", |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd0211e0f70>", |
| "_build": "<function ActorCriticPolicy._build at 0x7fd0211dd040>", |
| "forward": "<function ActorCriticPolicy.forward at 0x7fd0211dd0d0>", |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fd0211dd160>", |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd0211dd1f0>", |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fd0211dd280>", |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd0211dd310>", |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd0211dd3a0>", |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd0211dd430>", |
| "__abstractmethods__": "frozenset()", |
| "_abc_impl": "<_abc._abc_data object at 0x7fd0211e2200>" |
| }, |
| "verbose": 0, |
| "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": 2031616, |
| "_total_timesteps": 2000000, |
| "_num_timesteps_at_start": 0, |
| "seed": null, |
| "action_noise": null, |
| "start_time": 1679941122712502038, |
| "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": -0.015808000000000044, |
| "ep_info_buffer": { |
| ":type:": "<class 'collections.deque'>", |
| ":serialized:": "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" |
| }, |
| "ep_success_buffer": { |
| ":type:": "<class 'collections.deque'>", |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" |
| }, |
| "_n_updates": 1240, |
| "n_steps": 2048, |
| "gamma": 0.99, |
| "gae_lambda": 0.95, |
| "ent_coef": 0.0, |
| "vf_coef": 0.5, |
| "max_grad_norm": 0.5, |
| "batch_size": 64, |
| "n_epochs": 10, |
| "clip_range": { |
| ":type:": "<class 'function'>", |
| ":serialized:": "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" |
| }, |
| "clip_range_vf": null, |
| "normalize_advantage": true, |
| "target_kl": null |
| } |
