| { | |
| "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 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 ", | |
| "__init__": "<function ActorCriticPolicy.__init__ at 0x7f56c27f1ca0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f56c27f1d30>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f56c27f1dc0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f56c27f1e50>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f56c27f1ee0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f56c27f1f70>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f56c27f5040>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f56c27f50d0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f56c27f5160>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f56c27f51f0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f56c27f5280>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f56c27ed4b0>" | |
| }, | |
| "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": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1671249801176931796, | |
| "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": 248, | |
| "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 | |
| } |