jlmarrugom's picture
feat: first PPO LLv2 model
7293198
raw
history blame contribute delete
No virus
14.7 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 0x7f0bbab5e3a0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0bbab5e430>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f0bbab5e4c0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f0bbab5e550>",
"_build": "<function ActorCriticPolicy._build at 0x7f0bbab5e5e0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f0bbab5e670>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f0bbab5e700>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f0bbab5e790>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f0bbab5e820>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f0bbab5e8b0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f0bbab5e940>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f0bbab5e9d0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7f0bbab5de80>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
8
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf]",
"bounded_below": "[False False False False False False False False]",
"bounded_above": "[False False False False False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1679714194563616649,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_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,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 310,
"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:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}