File size: 14,832 Bytes
439863f |
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 96 97 98 99 100 101 102 103 104 105 106 |
{
"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 0x7ff44dc85670>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff44dc85700>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff44dc85790>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff44dc85820>",
"_build": "<function ActorCriticPolicy._build at 0x7ff44dc858b0>",
"forward": "<function ActorCriticPolicy.forward at 0x7ff44dc85940>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff44dc859d0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff44dc85a60>",
"_predict": "<function ActorCriticPolicy._predict at 0x7ff44dc85af0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff44dc85b80>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff44dc85c10>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff44dc85ca0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7ff44dc87900>"
},
"verbose": 1,
"policy_kwargs": {
":type:": "<class 'dict'>",
":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu",
"log_std_init": -2,
"ortho_init": false,
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
"optimizer_kwargs": {
"alpha": 0.99,
"eps": 1e-05,
"weight_decay": 0
}
},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
28
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]",
"bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]",
"bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
8
],
"low": "[-1. -1. -1. -1. -1. -1. -1. -1.]",
"high": "[1. 1. 1. 1. 1. 1. 1. 1.]",
"bounded_below": "[ True True True True True True True True]",
"bounded_above": "[ True True True True True True True True]",
"_np_random": null
},
"n_envs": 4,
"num_timesteps": 1000000,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1676434621740895506,
"learning_rate": 0.00096,
"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:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
},
"_last_original_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "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"
},
"_episode_num": 0,
"use_sde": true,
"sde_sample_freq": -1,
"_current_progress_remaining": 0.0,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 31250,
"n_steps": 8,
"gamma": 0.99,
"gae_lambda": 0.9,
"ent_coef": 0.0,
"vf_coef": 0.4,
"max_grad_norm": 0.5,
"normalize_advantage": false
} |