File size: 14,072 Bytes
6300cd5 |
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 0x782c61ba3490>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x782c61ba3520>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x782c61ba35b0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x782c61ba3640>",
"_build": "<function ActorCriticPolicy._build at 0x782c61ba36d0>",
"forward": "<function ActorCriticPolicy.forward at 0x782c61ba3760>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x782c61ba37f0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x782c61ba3880>",
"_predict": "<function ActorCriticPolicy._predict at 0x782c61ba3910>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x782c61ba39a0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x782c61ba3a30>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x782c61ba3ac0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x782c61d45e40>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1694727063579381015,
"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:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
} |