File size: 14,689 Bytes
425fec8 |
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 0x7fd18ea63ef0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd18ea63f80>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd18ea6a050>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd18ea6a0e0>",
"_build": "<function ActorCriticPolicy._build at 0x7fd18ea6a170>",
"forward": "<function ActorCriticPolicy.forward at 0x7fd18ea6a200>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd18ea6a290>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fd18ea6a320>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd18ea6a3b0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd18ea6a440>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd18ea6a4d0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fd18ea401e0>"
},
"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": 1652960224.65394,
"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": -0.015808000000000044,
"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
} |