File size: 14,096 Bytes
c0184d6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 |
{
"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 0x78c7b7092e60>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x78c7b7092ef0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x78c7b7092f80>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x78c7b7093010>",
"_build": "<function ActorCriticPolicy._build at 0x78c7b70930a0>",
"forward": "<function ActorCriticPolicy.forward at 0x78c7b7093130>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x78c7b70931c0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x78c7b7093250>",
"_predict": "<function ActorCriticPolicy._predict at 0x78c7b70932e0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x78c7b7093370>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x78c7b7093400>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x78c7b7093490>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x78c7b7094fc0>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1709909711614394165,
"learning_rate": 0.0003,
"tensorboard_log": null,
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "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"
},
"_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": 248,
"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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"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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"
}
} |