| { |
| "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 0x712df7ffa5c0>", |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x712df7ffa660>", |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x712df7ffa700>", |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x712df7ffa7a0>", |
| "_build": "<function ActorCriticPolicy._build at 0x712df7ffa840>", |
| "forward": "<function ActorCriticPolicy.forward at 0x712df7ffa8e0>", |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x712df7ffa980>", |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x712df7ffaa20>", |
| "_predict": "<function ActorCriticPolicy._predict at 0x712df7ffaac0>", |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x712df7ffab60>", |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x712df7ffac00>", |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x712df7ffaca0>", |
| "__abstractmethods__": "frozenset()", |
| "_abc_impl": "<_abc._abc_data object at 0x712df7fbb340>" |
| }, |
| "verbose": 1, |
| "policy_kwargs": {}, |
| "num_timesteps": 1000448, |
| "_total_timesteps": 1000000, |
| "_num_timesteps_at_start": 0, |
| "seed": null, |
| "action_noise": null, |
| "start_time": 1773257779748414715, |
| "learning_rate": 0.0003, |
| "tensorboard_log": null, |
| "_last_obs": { |
| ":type:": "<class 'numpy.ndarray'>", |
| ":serialized:": "gAWVlgAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAtIWI+db1mP4ttW747xXC+bj7GO/bw1LwAAAAAAAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJLAUsIhpSMAUOUdJRSlC4=" |
| }, |
| "_last_episode_starts": { |
| ":type:": "<class 'numpy.ndarray'>", |
| ":serialized:": "gAWVdQAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWAQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksBhZSMAUOUdJRSlC4=" |
| }, |
| "_last_original_obs": null, |
| "_episode_num": 0, |
| "use_sde": false, |
| "sde_sample_freq": -1, |
| "_current_progress_remaining": -0.00044800000000000395, |
| "_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": 4344, |
| "observation_space": { |
| ":type:": "<class 'gymnasium.spaces.box.Box'>", |
| ":serialized:": "gAWVdwIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBNudW1weS5fY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QolggAAAAAAAAAAQEBAQEBAQGUaAiMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUjAFDlHSUUpSMDWJvdW5kZWRfYWJvdmWUaBEolggAAAAAAAAAAQEBAQEBAQGUaBVLCIWUaBl0lFKUjAZfc2hhcGWUSwiFlIwDbG93lGgRKJYgAAAAAAAAAAAAtMIAALTCAACgwAAAoMDbD0nAAACgwAAAAIAAAACAlGgLSwiFlGgZdJRSlIwEaGlnaJRoESiWIAAAAAAAAAAAALRCAAC0QgAAoEAAAKBA2w9JQAAAoEAAAIA/AACAP5RoC0sIhZRoGXSUUpSMCGxvd19yZXBylIxbWy05MC4gICAgICAgIC05MC4gICAgICAgICAtNS4gICAgICAgICAtNS4gICAgICAgICAtMy4xNDE1OTI3ICAtNS4KICAtMC4gICAgICAgICAtMC4gICAgICAgXZSMCWhpZ2hfcmVwcpSMU1s5MC4gICAgICAgIDkwLiAgICAgICAgIDUuICAgICAgICAgNS4gICAgICAgICAzLjE0MTU5MjcgIDUuCiAgMS4gICAgICAgICAxLiAgICAgICBdlIwKX25wX3JhbmRvbZROdWIu", |
| "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:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu", |
| "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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" |
| } |
| } |
