| { | |
| "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 0x7f6010620550>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f60106205e0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6010620670>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6010620700>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f6010620790>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f6010620820>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f60106208b0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6010620940>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f60106209d0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6010620a60>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6010620af0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6010620b80>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f601061d480>" | |
| }, | |
| "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": 1677080212386560600, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAJNTWj4RHG8/OHo+PoMAvb7QKog+OyIAvgAAAAAAAAAAM7spvaI+eD4O2UK+hBU8vlkWlb3vNiU9AAAAAAAAAADtfR4+IMWVPsKUg74Div69YU46vRalgTwAAAAAAAAAAPN1Mb4eB5A/xv0zvv0Hsb7fjIe+MontOQAAAAAAAAAAADO6vFsa1z293lu+wzU2vrpyr73fxgE6AAAAAAAAAACaLgw9tziFPqWH3L30tAS+yuLku/L697wAAAAAAAAAAFoJtT1cYas+96MXvS2pRb7vhWI9+mJePAAAAAAAAAAAmmgVvXuClrrFaRQ0ASsHL4PP3jqJUq+zAACAPwAAgD8AFAu9MF2zPyQkuL7W2R2+Ms2xvBiF370AAAAAAAAAAAD46Ty7IZc9/O65vZaAOr6Bw5e9fLcEPgAAAAAAAAAAM+QaPT77lT3zU2q9iWBCvoUsoz2TAXK8AAAAAAAAAAAAMiC+w3lFPzxBBDzgt56+ucqEvU7jeT0AAAAAAAAAADP1Wr3hyKO6gYEwOmJTG7Y0vtk6KNNKuQAAgD8AAIA/c/Y5Ph7fDT+kGiS+ay9ovjZNMT2bkz69AAAAAAAAAAAz75s8aJWmP5C33D0A6Ky+CBWHPOzrhLwAAAAAAAAAAACLOT3PRXo9TplFvsZL5b3P1Zq9ujOMvQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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 | |
| } |