File size: 11,996 Bytes
3a1cb2c 060b3d4 3a1cb2c 060b3d4 3a1cb2c 060b3d4 3a1cb2c 060b3d4 3a1cb2c 060b3d4 3a1cb2c |
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 |
{
"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 0x7f2d632a41f0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f2d632a4280>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f2d632a4310>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f2d632a43a0>",
"_build": "<function ActorCriticPolicy._build at 0x7f2d632a4430>",
"forward": "<function ActorCriticPolicy.forward at 0x7f2d632a44c0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f2d632a4550>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f2d632a45e0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f2d632a4670>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f2d632a4700>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f2d632a4790>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f2d6329d7b0>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLQIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 64,
"_shape": [],
"dtype": "int64",
"_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": 2506752,
"_total_timesteps": 2500000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1670431053568105410,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWV8wAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAACcAAAAAAAAANwAAAAAAAAABAAAAAAAAABUAAAAAAAAAAQAAAAAAAAAOAAAAAAAAAAAAAAAAAAAADQAAAAAAAAADAAAAAAAAACcAAAAAAAAAAwAAAAAAAAACAAAAAAAAAC8AAAAAAAAANwAAAAAAAAAAAAAAAAAAAA4AAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="
},
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAEAAAAAAAAAAQCUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.0027007999999999477,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 612,
"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+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
} |