| { | |
| "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 0x7fd2709a88b0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd2709a8940>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd2709a89d0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd2709a8a60>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fd2709a8af0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fd2709a8b80>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fd2709a8c10>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd2709a8ca0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fd2709a8d30>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd2709a8dc0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd2709a8e50>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd2709a8ee0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fd2709a29f0>" | |
| }, | |
| "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": 1674697868049831046, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAACYU7u2knS8FaTpPEy3or1rkby71LY+vQAAgD8AAIA/ZnK8vEAz6z7Lp2o9ZYeQvmCqmjvBxES9AAAAAAAAAABNr7q9KYwqur3Itjk9c/81rqz0umKN2bgAAAAAAACAP5rRDrzD6Wa6YlbLNs7tPTLlG6i4KOfwtQAAgD8AAIA/8xaxvrxt3j7SBlU+UdlIvoNq77x482o9AAAAAAAAAADNzNy3/5mgP3nIPTuP3Ly+WYh5PLo7Aj0AAAAAAAAAAHP2Qj6XUyY/dfVRvotvu75vZII8qy5jPQAAAAAAAAAAQIJ/vtlYsD/hVw2/dx7qvonvb7443uG9AAAAAAAAAACaq9Y8EC6sP/M1Bz4c30m+x4IcPS3Rhj0AAAAAAAAAAJoEMz7RdYc/0iUyvXMns74sX/c9oNfavQAAAAAAAAAAZq+NvClofrpeHQiyVA/6ME6BrDqqdAIyAACAPwAAgD9Ad/k9UrDJuWCBJroXtC+27yzRuhVeQzkAAIA/AACAPwB8Az3rlpc9ivZIvGowJL7JwrA8/RjVuwAAAAAAAAAATQiRPcOJJLpLdca4gKKrs0p5E7rT4us3AACAPwAAgD8GNhU+abgYP1kYMr7RspS+hly1PBaSFr0AAAAAAAAAACD3PL6DYd4++kZcPlXrg74iNhy7yMxuvAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg==" | |
| }, | |
| "_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 | |
| } |