| { | |
| "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 0x7a671decf7f0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7a671decf880>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7a671decf910>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7a671decf9a0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7a671decfa30>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7a671decfac0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7a671decfb50>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7a671decfbe0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7a671decfc70>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7a671decfd00>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7a671decfd90>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7a671decfe20>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7a671de6fb00>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 10000384, | |
| "_total_timesteps": 10000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1701581506378298778, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAALM+HD3sM8k6RTotvUGSGTsF27W6xvXruwAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -3.8399999999993994e-05, | |
| "_stats_window_size": 100, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 39064, | |
| "observation_space": { | |
| ":type:": "<class 'gymnasium.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "bounded_below": "[ True True True True True True True True]", | |
| "bounded_above": "[ True True True True True True True True]", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "_np_random": "Generator(PCG64)" | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", | |
| ":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 1, | |
| "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, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| } | |
| } |