File size: 18,466 Bytes
8552de0 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 |
{
"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 0x7fbfd2dd2a70>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fbfd2dd2b00>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fbfd2dd2b90>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fbfd2dd2c20>",
"_build": "<function ActorCriticPolicy._build at 0x7fbfd2dd2cb0>",
"forward": "<function ActorCriticPolicy.forward at 0x7fbfd2dd2d40>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fbfd2dd2dd0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fbfd2dd2e60>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fbfd2dd2ef0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fbfd2dd2f80>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fbfd2dd9050>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fbfd2e22780>"
},
"verbose": 1,
"policy_kwargs": {
":type:": "<class 'dict'>",
":serialized:": "gASVjgAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA1hY3RpdmF0aW9uX2ZulIwbdG9yY2gubm4ubW9kdWxlcy5hY3RpdmF0aW9ulIwEUmVMVZSTlIwIbmV0X2FyY2iUXZR9lCiMAnBplF2UKE0AAU0AAWWMAnZmlF2UKE0AAU0AAWV1YXUu",
"log_std_init": -2,
"ortho_init": false,
"activation_fn": "<class 'torch.nn.modules.activation.ReLU'>",
"net_arch": [
{
"pi": [
256,
256
],
"vf": [
256,
256
]
}
]
},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
22
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -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]",
"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]",
"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]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
6
],
"low": "[-1. -1. -1. -1. -1. -1.]",
"high": "[1. 1. 1. 1. 1. 1.]",
"bounded_below": "[ True True True True True True]",
"bounded_above": "[ True True True True True True]",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 2007040,
"_total_timesteps": 2000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1658043051.6085303,
"learning_rate": 3e-05,
"tensorboard_log": "./tensorboard",
"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": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "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"
},
"_episode_num": 0,
"use_sde": true,
"sde_sample_freq": 4,
"_current_progress_remaining": -0.0035199999999999676,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 4900,
"n_steps": 512,
"gamma": 0.99,
"gae_lambda": 0.92,
"ent_coef": 0.0,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 128,
"n_epochs": 20,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "gASVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/ZmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
} |