File size: 14,730 Bytes
a433c21 0459180 a433c21 0459180 a433c21 0459180 a433c21 0459180 a433c21 0459180 a433c21 0459180 a433c21 0459180 a433c21 0459180 a433c21 |
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 |
{
"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 0x7f8b1631ca60>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f8b1631caf0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f8b1631cb80>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f8b1631cc10>",
"_build": "<function ActorCriticPolicy._build at 0x7f8b1631cca0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f8b1631cd30>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f8b1631cdc0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f8b1631ce50>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f8b1631cee0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f8b1631cf70>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f8b16324040>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f8b163240d0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7f8b16322cc0>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
8
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf]",
"bounded_below": "[False False False False False False False False]",
"bounded_above": "[False False False False False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 1310720,
"_total_timesteps": 1300000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1680592071942743431,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_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": -0.008246153846153792,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 320,
"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
} |