File size: 14,784 Bytes
dab4c56 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 |
{
"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 0x7c2e983f6320>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c2e983f63b0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c2e983f6440>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c2e983f64d0>",
"_build": "<function ActorCriticPolicy._build at 0x7c2e983f6560>",
"forward": "<function ActorCriticPolicy.forward at 0x7c2e983f65f0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7c2e983f6680>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c2e983f6710>",
"_predict": "<function ActorCriticPolicy._predict at 0x7c2e983f67a0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c2e983f6830>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c2e983f68c0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7c2e983f6950>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7c2e983f2080>"
},
"verbose": 0,
"policy_kwargs": {
":type:": "<class 'dict'>",
":serialized:": "gAWVjgAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA1hY3RpdmF0aW9uX2ZulIwbdG9yY2gubm4ubW9kdWxlcy5hY3RpdmF0aW9ulIwEUmVMVZSTlIwIbmV0X2FyY2iUXZR9lCiMAnBplF2UKE0AAU0AAWWMAnZmlF2UKE0AAU0AAWV1YXUu",
"log_std_init": -2,
"ortho_init": false,
"activation_fn": "<class 'torch.nn.modules.activation.ReLU'>",
"net_arch": [
{
"pi": [
256,
256
],
"vf": [
256,
256
]
}
]
},
"num_timesteps": 800256,
"_total_timesteps": 800000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1711907393914947525,
"learning_rate": 2.0633e-05,
"tensorboard_log": null,
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWV/QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaIAAAAAAAAAPb6yfPG+bu/YpoP60batj9x2iwnfCfFPzD1dRHNwbs/Dqo886Xe0r8Gk7uUQ9Xnv8/dEvGZeEW/WjFuD3Cq0b9X7dYYUVkDQAvaFImlFt+/ok6+8amxCED0iN46maEpwHjrUtNFZRtAHFlv9tIRKcAUEH5DL5MwwKBsTdtdKHa/RI0BBkzhIECUjAVudW1weZSMBWR0eXBllJOUjAJmOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwFLEYaUjAFDlHSUUpQu"
},
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.000320000000000098,
"_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": 31260,
"observation_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float64",
"bounded_below": "[False False False False False False False False False False False False\n False False False False False]",
"bounded_above": "[False False False False False False False False False False False False\n False False False False False]",
"_shape": [
17
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf]",
"low_repr": "-inf",
"high_repr": "inf",
"_np_random": null
},
"action_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"bounded_below": "[ True True True True True True]",
"bounded_above": "[ True True True True True True]",
"_shape": [
6
],
"low": "[-1. -1. -1. -1. -1. -1.]",
"high": "[1. 1. 1. 1. 1. 1.]",
"low_repr": "-1.0",
"high_repr": "1.0",
"_np_random": null
},
"n_envs": 1,
"n_steps": 512,
"gamma": 0.98,
"gae_lambda": 0.92,
"ent_coef": 0.000401762,
"vf_coef": 0.58096,
"max_grad_norm": 0.8,
"batch_size": 64,
"n_epochs": 20,
"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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"
}
} |