File size: 13,454 Bytes
75166c9 |
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 0x79f372201000>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x79f372201090>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x79f372201120>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x79f3722011b0>",
"_build": "<function ActorCriticPolicy._build at 0x79f372201240>",
"forward": "<function ActorCriticPolicy.forward at 0x79f3722012d0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x79f372201360>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x79f3722013f0>",
"_predict": "<function ActorCriticPolicy._predict at 0x79f372201480>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x79f372201510>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x79f3722015a0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x79f372201630>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x79f372199840>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1000448,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1718914396246119036,
"learning_rate": 0.0003,
"tensorboard_log": null,
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAN00bL5ydHg/Iwfgvo0I875KL6S+av4IvgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="
},
"_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": -0.00044800000000000395,
"_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": 3908,
"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,
"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": 1,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
} |