File size: 13,975 Bytes
35dc555 |
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 0x7ce6c0fa39a0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ce6c0fa3a30>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ce6c0fa3ac0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ce6c0fa3b50>",
"_build": "<function ActorCriticPolicy._build at 0x7ce6c0fa3be0>",
"forward": "<function ActorCriticPolicy.forward at 0x7ce6c0fa3c70>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7ce6c0fa3d00>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ce6c0fa3d90>",
"_predict": "<function ActorCriticPolicy._predict at 0x7ce6c0fa3e20>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ce6c0fa3eb0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ce6c0fa3f40>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7ce6c0fac040>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7ce6c0f43740>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1712964060095243333,
"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": 380,
"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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"n_steps": 2048,
"gamma": 0.99,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 64,
"n_epochs": 10,
"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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"
}
} |