File size: 11,978 Bytes
2ba13a5 |
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 |
{
"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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7fcc9a9daa70>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcc9a9dab00>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcc9a9dab90>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fcc9a9dac20>",
"_build": "<function ActorCriticPolicy._build at 0x7fcc9a9dacb0>",
"forward": "<function ActorCriticPolicy.forward at 0x7fcc9a9dad40>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fcc9a9dadd0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fcc9a9dae60>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fcc9a9daef0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fcc9a9daf80>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fcc9a9e1050>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fcc9aa1cd20>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLEIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 16,
"_shape": [],
"dtype": "int64",
"_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": 1212416,
"_total_timesteps": 1200000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1652745639.4016604,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWV8wAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAAAQAAAAAAAAADgAAAAAAAAAKAAAAAAAAAAkAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAkAAAAAAAAACAAAAAAAAAAIAAAAAAAAAAAAAAAAAAAACAAAAAAAAAAJAAAAAAAAAAkAAAAAAAAACAAAAAAAAAAIAAAAAAAAAAQAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="
},
"_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": -0.010346666666666726,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 496,
"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
} |