File size: 14,719 Bytes
b8e56ef |
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:": "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 0x7f5e84186170>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f5e84186200>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f5e84186290>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f5e84186320>",
"_build": "<function ActorCriticPolicy._build at 0x7f5e841863b0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f5e84186440>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f5e841864d0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f5e84186560>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f5e841865f0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f5e84186680>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f5e84186710>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f5e841cf960>"
},
"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": 507904,
"_total_timesteps": 500000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1652377609.7030683,
"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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAABAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
},
"_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:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 124,
"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
} |