File size: 14,047 Bytes
7d5a87e |
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 0x7dd37e21a290>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7dd37e21a320>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7dd37e21a3b0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7dd37e21a440>",
"_build": "<function ActorCriticPolicy._build at 0x7dd37e21a4d0>",
"forward": "<function ActorCriticPolicy.forward at 0x7dd37e21a560>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7dd37e21a5f0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7dd37e21a680>",
"_predict": "<function ActorCriticPolicy._predict at 0x7dd37e21a710>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7dd37e21a7a0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7dd37e21a830>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7dd37e21a8c0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7dd37e211740>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 229376,
"_total_timesteps": 200000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1694692565668972605,
"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": -0.1468799999999999,
"_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": 210,
"observation_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "gAWVcAIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoECiWCAAAAAAAAAABAQEBAQEBAZRoFEsIhZRoGHSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBAoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaApLCIWUaBh0lFKUjARoaWdolGgQKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgKSwiFlGgYdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=",
"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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"n_steps": 2048,
"gamma": 0.99,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 64,
"n_epochs": 10,
"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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"
}
} |