hui168's picture
First check in
d985db3 verified
raw
history blame
14.1 kB
{
"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 0x7dd765ffd240>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7dd765ffd2d0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7dd765ffd360>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7dd765ffd3f0>",
"_build": "<function ActorCriticPolicy._build at 0x7dd765ffd480>",
"forward": "<function ActorCriticPolicy.forward at 0x7dd765ffd510>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7dd765ffd5a0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7dd765ffd630>",
"_predict": "<function ActorCriticPolicy._predict at 0x7dd765ffd6c0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7dd765ffd750>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7dd765ffd7e0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7dd765ffd870>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7dd765fa3cc0>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1712859662151967341,
"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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"n_steps": 1024,
"gamma": 0.99999,
"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"
}
}