File size: 14,825 Bytes
721326d |
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 |
{
"policy_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
"__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 0x7f7e1ba34170>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f7e1ba34200>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7e1ba34290>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f7e1ba34320>",
"_build": "<function ActorCriticPolicy._build at 0x7f7e1ba343b0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f7e1ba34440>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f7e1ba344d0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f7e1ba34560>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f7e1ba345f0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f7e1ba34680>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f7e1ba34710>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f7e1ba7f8d0>"
},
"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:": "gASVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1653831591.6515734,
"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:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAAAAACUdJRiLg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.015808000000000044,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 248,
"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
} |