File size: 15,998 Bytes
9da0046 bc20a15 9da0046 bc20a15 9da0046 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 |
{
"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 0x7f158f9afee0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f158f9aff70>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f158f934040>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f158f9340d0>",
"_build": "<function ActorCriticPolicy._build at 0x7f158f934160>",
"forward": "<function ActorCriticPolicy.forward at 0x7f158f9341f0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f158f934280>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f158f934310>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f158f9343a0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f158f934430>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f158f9344c0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f158f934550>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f158f9abde0>"
},
"verbose": 1,
"policy_kwargs": {
":type:": "<class 'dict'>",
":serialized:": "gAWVuQAAAAAAAAB9lCiMDWFjdGl2YXRpb25fZm6UjBt0b3JjaC5ubi5tb2R1bGVzLmFjdGl2YXRpb26UjARUYW5olJOUjAhuZXRfYXJjaJR9lCiMAnBplF2UKEtAS0BljAJ2ZpRdlChLQEtAZXWMGGZlYXR1cmVzX2V4dHJhY3Rvcl9jbGFzc5SMF2ltaXRhdGlvbi5wb2xpY2llcy5iYXNllIwaTm9ybWFsaXplRmVhdHVyZXNFeHRyYWN0b3KUk5R1Lg==",
"activation_fn": "<class 'torch.nn.modules.activation.Tanh'>",
"net_arch": {
"pi": [
64,
64
],
"vf": [
64,
64
]
},
"features_extractor_class": "<class 'imitation.policies.base.NormalizeFeaturesExtractor'>"
},
"num_timesteps": 1000448,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": 0,
"action_noise": null,
"start_time": 1694771152556178530,
"learning_rate": {
":type:": "<class 'function'>",
":serialized:": "gAWVlwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMZS9ob21lL21heGltaWxpYW4vcmwtYmFzZWxpbmVzMy16b28vdmVudi9saWIvcHl0aG9uMy44L3NpdGUtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLg0MCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flGgMdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpSMHGNsb3VkcGlja2xlLmNsb3VkcGlja2xlX2Zhc3SUjBJfZnVuY3Rpb25fc2V0c3RhdGWUk5RoHn2UfZQoaBZoDYwMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBeMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHPzWKdLD3DSmFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4="
},
"tensorboard_log": null,
"_last_obs": null,
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
},
"_last_original_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVBQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaQAAAAAAAAACjGfK/XCJQ/IKV/QyFJlD+XR2iGCdqtv3og2uygu7O/2Fne9nRChL84DRNEU/KYvwj7Cx0iFqw/911oR5MJqb+0MBExINOUvwwlKjRtirk/BC2EDH1Bh79UtxuGx2u8v0KEwHLD7MG/uAKDXRq1mj9wmFPvkpkWvygLSj5P870/G+SEKGdqqD+0NSo+WzquP5SMBW51bXB5lIwFZHR5cGWUk5SMAmY4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJLAUsShpSMAUOUdJRSlC4="
},
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.00044800000000000395,
"_stats_window_size": 100,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 9770,
"observation_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float64",
"bounded_below": "[False False False False False False False False False False False False\n 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]",
"_shape": [
18
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf]",
"low_repr": "-inf",
"high_repr": "inf",
"_np_random": null
},
"action_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"bounded_below": "[ True True True True True True]",
"bounded_above": "[ True True True True True True]",
"_shape": [
6
],
"low": "[-1. -1. -1. -1. -1. -1.]",
"high": "[1. 1. 1. 1. 1. 1.]",
"low_repr": "-1.0",
"high_repr": "1.0",
"_np_random": "Generator(PCG64)"
},
"n_envs": 1,
"n_steps": 512,
"gamma": 0.95,
"gae_lambda": 0.95,
"ent_coef": 3.794797423594763e-06,
"vf_coef": 0.11483689492120866,
"max_grad_norm": 0.8,
"batch_size": 64,
"n_epochs": 5,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
} |