| { | |
| "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 0x7f75ed877310>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f75ed8773a0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f75ed877430>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f75ed8774c0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f75ed877550>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f75ed8775e0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f75ed877670>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f75ed877700>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f75ed877790>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f75ed877820>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f75ed8778b0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f75ed877940>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f75ed875ac0>" | |
| }, | |
| "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": 1679092296790909059, | |
| "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 | |
| } |