File size: 14,722 Bytes
7ec28dd 23ed1e4 7ec28dd 23ed1e4 7ec28dd 23ed1e4 7ec28dd 23ed1e4 7ec28dd 23ed1e4 7ec28dd 23ed1e4 7ec28dd |
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 |
{
"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 0x7f26970ecdc0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f26970ece50>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f26970ecee0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f26970ecf70>",
"_build": "<function ActorCriticPolicy._build at 0x7f26970f2040>",
"forward": "<function ActorCriticPolicy.forward at 0x7f26970f20d0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f26970f2160>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f26970f21f0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f26970f2280>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f26970f2310>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f26970f23a0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f26970f2430>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7f26970efe40>"
},
"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": 1507328,
"_total_timesteps": 1500000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1678359677529809007,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAGb8v70WzXI/wklgvQT/tr4sCy29ON8BPQAAAAAAAAAAzdaivSmIZ7qtQak98tods34YEDoKYiazAAAAAAAAAAAA/968z9k1vDCPvTwC1To93DkOPYoeQjsAAIA/AACAPwBi2DxIZfE+Qw37vWf1ib6HK0C9M7eJvQAAAAAAAAAAM4miPAqyCrv1UV89X8OtPPw7ILzaH5U9AACAPwAAgD9Agck9EuUSPzp8rrxy34q+KoorPYWPgL0AAAAAAAAAAFgRkb7Ig4Q/49Isvmrtub5uWEO+xcGcPQAAAAAAAAAAzSUSPZ7jrT2sI0y+mTVhvj0ZCb7+2WA8AAAAAAAAAACNSa+9XK8CukxwoLX1XsqwC1MlO7vjpzQAAIA/AACAP2YCubsE8Po9pQx5vfV3FL4Ti2u9o9DjvQAAAAAAAAAAYFiRPtt4ZD+AuXs+FZ0Ov35x7j5mQ/+9AAAAAAAAAADaH6u9J96pPypkNr8Ej/G+O56Ju/jsR74AAAAAAAAAAIB0Rr7HBIg+RolePsO0gL4xXaC8/eeNuwAAAAAAAAAAAJCFuh2uvD/G1KC8vMWDPrHT2zu/ryc9AAAAAAAAAADaxQa+p5cEP/abKz6pbKS+jM4CPSDB4j0AAAAAAAAAAOCAdj7i9nY/tvXtPkVt+r6bsbI+c8ddPgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="
},
"_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": -0.004885333333333408,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 396,
"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:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
} |