File size: 14,003 Bytes
a8a583c |
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 0x7e740dc3f640>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e740dc3f6d0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e740dc3f760>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e740dc3f7f0>",
"_build": "<function ActorCriticPolicy._build at 0x7e740dc3f880>",
"forward": "<function ActorCriticPolicy.forward at 0x7e740dc3f910>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7e740dc3f9a0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e740dc3fa30>",
"_predict": "<function ActorCriticPolicy._predict at 0x7e740dc3fac0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e740dc3fb50>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e740dc3fbe0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7e740dc3fc70>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7e740dbdf180>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1717326373191230380,
"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": 310,
"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:": "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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"
}
} |