File size: 14,016 Bytes
ee7218d b3072e2 ee7218d b3072e2 ee7218d af9d991 ee7218d b3072e2 ee7218d b3072e2 ee7218d af9d991 ee7218d b3072e2 ee7218d b3072e2 1dec365 ee7218d 1dec365 ee7218d |
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 0x7aca07d3bc70>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7aca07d3bd00>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7aca07d3bd90>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7aca07d3be20>",
"_build": "<function ActorCriticPolicy._build at 0x7aca07d3beb0>",
"forward": "<function ActorCriticPolicy.forward at 0x7aca07d3bf40>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7aca07d3c040>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7aca07d3c0d0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7aca07d3c160>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7aca07d3c1f0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7aca07d3c280>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7aca07d3c310>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7aca07cd5b40>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 30015488,
"_total_timesteps": 30000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1714751891356620269,
"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": -0.0005162666666667093,
"_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": 21748,
"n_steps": 1024,
"gamma": 0.999,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"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,
"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:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
} |