| { | |
| "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 0x7cac48814a60>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7cac48814af0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7cac48814b80>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7cac48814c10>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7cac48814ca0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7cac48814d30>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7cac48814dc0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7cac48814e50>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7cac48814ee0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7cac48814f70>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7cac48815000>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7cac48815090>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7cac48818580>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1710518930015503199, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAJrPMLxM0pU/8KVFvfm/q75Lrg48HSEYvQAAAAAAAAAAzaCVvlctPj8tLiw+qod8vpIuCr2/rbA9AAAAAAAAAADgFD++r25hPwo8ljyS3I2+HL0Vvt55Sj0AAAAAAAAAADNMJ72Usos+Ci2VPRMGj76LPIW7c8zNPAAAAAAAAAAAZsAJvtRHXz5wLng+LbN+vkeaJj2qkDe7AAAAAAAAAADN0zw9RGy0Pa47ojsmjhi+kT+qPEJ4DbkAAAAAAAAAADNDBjv2tEi6UGE7O4D50DYZIly7AJ5JugAAgD8AAIA/ZnKjuyk4PLwegIs8BtGrPOYwYrzacQu4AACAPwAAgD8a0hG+hVH2u/2FkLye5bC6pixIPc8rvDsAAIA/AAAAAJq1nLx7Ipy6MkwxNblFsTAnXSy6YmhVtAAAgD8AAIA/mjbwvXfGID6QBtM9EH+JvtWFizy6eVo8AAAAAAAAAABmzCU93JiYPsWQ0TybzV6+Xya+PPL0Xj0AAAAAAAAAAJrIyLxkMz4+RpF6vZBQS76djq66MWlIPQAAAAAAAAAAutsivvmRCT/w1no+dpWZvkVlPD2xkAw7AAAAAAAAAADz1aS9N20HP+rnkD3gfHu+q2LFvIjOej0AAAAAAAAAAJuljL5fJWg/IFT6vc94fr6ISoy+7q0gPgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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, | |
| "_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": 284, | |
| "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": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", | |
| ":serialized:": "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", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": "Generator(PCG64)" | |
| }, | |
| "n_envs": 16, | |
| "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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" | |
| } | |
| } |