File size: 14,661 Bytes
0e5f442 |
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 0x7f174df505e0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f174df50670>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f174df50700>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f174df50790>",
"_build": "<function ActorCriticPolicy._build at 0x7f174df50820>",
"forward": "<function ActorCriticPolicy.forward at 0x7f174df508b0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f174df50940>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f174df509d0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f174df50a60>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f174df50af0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f174df50b80>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f174df510c0>"
},
"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": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1672419826098146293,
"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": 310,
"n_steps": 2048,
"gamma": 0.99,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 64,
"n_epochs": 10,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
} |