culteejen's picture
Upload model to Hugging Face
49860f0
{
"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 0x7f7e8b2e9240>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f7e8b2e92d0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7e8b2e9360>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f7e8b2e93f0>",
"_build": "<function ActorCriticPolicy._build at 0x7f7e8b2e9480>",
"forward": "<function ActorCriticPolicy.forward at 0x7f7e8b2e9510>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f7e8b2e95a0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f7e8b2e9630>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f7e8b2e96c0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f7e8b2e9750>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f7e8b2e97e0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f7e8b2e9870>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7f7e8b2daf00>"
},
"verbose": true,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
10
],
"low": "[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]",
"high": "[5.2000000e+05 3.1415927e+00 1.0000000e+02 1.0000000e+02 1.0000000e+02\n 1.0000000e+02 1.0000000e+02 1.0000000e+02 1.0000000e+02 1.0000000e+02]",
"bounded_below": "[ True True True True True True True True True True]",
"bounded_above": "[ True True True True True True True True True True]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "gAWViAAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 4,
"num_timesteps": 204800,
"_total_timesteps": 200000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1681928439825842716,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVFQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJagAAAAAAAAAK+ldkJkDKC/O6pAQurTyUF6ZbVB6hYKQgAAyEIAAMhCAADIQgAAyELUKYVCuVvSvwAAyEKC8TBCA93KQQmV3UEAAMhC5x3BQgAAyEIAAMhCcvJ8Qlysur5dIKVBAADIQgAAyEIAAMhCpzCcQgAAyEIAAMhCAADIQoB1iEKpjgHAAADIQgAAyEI49f5BTJjjQXvhMkIAAMhCAADIQgAAyEKUjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwRLCoaUjAFDlHSUUpQu"
},
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.02400000000000002,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 1120,
"n_steps": 2048,
"gamma": 0.99,
"gae_lambda": 0.5,
"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:": "gAWV4QIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMVy9ob21lL25vaXNlYnJpZGdlLy5sb2NhbC9saWIvcHl0aG9uMy4xMC9zaXRlLXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgQBlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMVy9ob21lL25vaXNlYnJpZGdlLy5sb2NhbC9saWIvcHl0aG9uMy4xMC9zaXRlLXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}