| { | |
| "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 0x7f0d392d2ee0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0d392d2f70>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f0d392d4040>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f0d392d40d0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f0d392d4160>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f0d392d41f0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f0d392d4280>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f0d392d4310>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f0d392d43a0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f0d392d4430>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f0d392d44c0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f0d392d4550>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f0d392d3f40>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float64", | |
| "_shape": [ | |
| 11 | |
| ], | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False False False False]", | |
| "bounded_above": "[False False False False False False False False False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 3 | |
| ], | |
| "low": "[-1. -1. -1.]", | |
| "high": "[1. 1. 1.]", | |
| "bounded_below": "[ True True True]", | |
| "bounded_above": "[ True True True]", | |
| "_np_random": "RandomState(MT19937)" | |
| }, | |
| "n_envs": 1, | |
| "num_timesteps": 1001472, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": 0, | |
| "action_noise": null, | |
| "start_time": 1675870779013522765, | |
| "learning_rate": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "tensorboard_log": "runs/Hopper-v3__trpo__764300181__1675870775/Hopper-v3", | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": null, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYCAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksChZSMAUOUdJRSlC4=" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVJQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJawAAAAAAAAAC/CkyWMEvQ/wPzGBRZ0OL9iM9cAkjBVv9uq8Z2HLHC/KvaZ+ESmaD/QFPXAzdBIv6DvlINTOkc//C2wCQfbWz/D91KvIdVxPyKlslW/12w/9u/I4vgCX7/yY0Xif/DzP0LzJBXfnV+/w2JR/XSrY7+IWnTzqiZyvwCg+pl6Fjo/XPLlGorCYb/rFue3P7hxP8AR31NE9TE/wbcott8Icj8Qn4VBaY5WPzBsJMdSp1I/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksCSwuGlIwBQ5R0lFKULg==" | |
| }, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.0014719999999999178, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 489, | |
| "n_steps": 1024, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.0, | |
| "max_grad_norm": 0.0, | |
| "normalize_advantage": true, | |
| "batch_size": 128, | |
| "cg_max_steps": 25, | |
| "cg_damping": 0.1, | |
| "line_search_shrinking_factor": 0.8, | |
| "line_search_max_iter": 10, | |
| "target_kl": 0.01, | |
| "n_critic_updates": 20, | |
| "sub_sampling_factor": 1 | |
| } |