File size: 14,008 Bytes
b618c17 |
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 0x7fca6741e200>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fca6741e290>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fca6741e320>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fca6741e3b0>",
"_build": "<function ActorCriticPolicy._build at 0x7fca6741e440>",
"forward": "<function ActorCriticPolicy.forward at 0x7fca6741e4d0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fca6741e560>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fca6741e5f0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fca6741e680>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fca6741e710>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fca6741e7a0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fca6741e830>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7fca6741af40>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1212416,
"_total_timesteps": 1200000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1688978349811705929,
"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": -0.010346666666666726,
"_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": 296,
"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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"
}
} |