File size: 13,620 Bytes
02f50a9 |
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 0x7c70ab7cf400>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c70ab7cf490>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c70ab7cf520>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c70ab7cf5b0>",
"_build": "<function ActorCriticPolicy._build at 0x7c70ab7cf640>",
"forward": "<function ActorCriticPolicy.forward at 0x7c70ab7cf6d0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7c70ab7cf760>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c70ab7cf7f0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7c70ab7cf880>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c70ab7cf910>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c70ab7cf9a0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7c70ab7cfa30>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7c70ab782e00>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 2000896,
"_total_timesteps": 2000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1723558927788142523,
"learning_rate": 0.0003,
"tensorboard_log": null,
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAABrNtr32jHC6VAQOOCRf7jIivj27YiomtwAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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": 7816,
"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:": "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",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": "Generator(PCG64)"
},
"n_envs": 1,
"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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"
}
} |