File size: 14,062 Bytes
6fbaa65 | 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 | {
"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 0x7f7eac3a9d80>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f7eac3a9e10>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7eac3a9ea0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f7eac3a9f30>",
"_build": "<function ActorCriticPolicy._build at 0x7f7eac3a9fc0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f7eac3aa050>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f7eac3aa0e0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f7eac3aa170>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f7eac3aa200>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f7eac3aa290>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f7eac3aa320>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f7eac3aa3b0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7f7eac3b00c0>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 220832,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1686542602472014709,
"learning_rate": 0.0003,
"tensorboard_log": null,
"_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": 0.787008,
"_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": 300,
"observation_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "gAWVcAIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoECiWCAAAAAAAAAABAQEBAQEBAZRoFEsIhZRoGHSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBAoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaApLCIWUaBh0lFKUjARoaWdolGgQKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgKSwiFlGgYdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=",
"dtype": "float32",
"bounded_below": "[ True True True True True True True True]",
"bounded_above": "[ True True True True True True True True]",
"_shape": [
8
],
"low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
"high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
"low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
"high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"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:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
}
} |