File size: 14,092 Bytes
4f80552 |
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 0x7b95b5abb6d0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b95b5abb760>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b95b5abb7f0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b95b5abb880>",
"_build": "<function ActorCriticPolicy._build at 0x7b95b5abb910>",
"forward": "<function ActorCriticPolicy.forward at 0x7b95b5abb9a0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7b95b5abba30>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b95b5abbac0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7b95b5abbb50>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b95b5abbbe0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b95b5abbc70>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7b95b5abbd00>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7b95b5c538c0>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1711254568024238937,
"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:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=",
"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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"
}
} |