File size: 14,084 Bytes
2a17aae |
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 0x7d8136052170>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d8136052200>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d8136052290>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d8136052320>",
"_build": "<function ActorCriticPolicy._build at 0x7d81360523b0>",
"forward": "<function ActorCriticPolicy.forward at 0x7d8136052440>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7d81360524d0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d8136052560>",
"_predict": "<function ActorCriticPolicy._predict at 0x7d81360525f0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d8136052680>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d8136052710>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7d81360527a0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7d813604b840>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1690555922457579639,
"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": -0.015808000000000044,
"_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": 248,
"observation_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "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",
"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"
}
} |