File size: 13,426 Bytes
6da4afd |
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 0x7c98b8bf7eb0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c98b8bf7f40>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c98b8bfc040>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c98b8bfc0d0>",
"_build": "<function ActorCriticPolicy._build at 0x7c98b8bfc160>",
"forward": "<function ActorCriticPolicy.forward at 0x7c98b8bfc1f0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7c98b8bfc280>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c98b8bfc310>",
"_predict": "<function ActorCriticPolicy._predict at 0x7c98b8bfc3a0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c98b8bfc430>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c98b8bfc4c0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7c98b8bfc550>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7c98b8d91c80>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1000448,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1702788244233181142,
"learning_rate": 0.0003,
"tensorboard_log": null,
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAM0hcb1/gU4/JZflPc8/db4ntXk90ioAvQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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,
"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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"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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"
}
} |