Gabcsor's picture
Model trained using Optuna for hyperparameter tuning
7aae06c
raw
history blame
14.6 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 0x7fa2e4f6a790>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fa2e4f6a820>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fa2e4f6a8b0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fa2e4f6a940>",
"_build": "<function ActorCriticPolicy._build at 0x7fa2e4f6a9d0>",
"forward": "<function ActorCriticPolicy.forward at 0x7fa2e4f6aa60>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fa2e4f6aaf0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fa2e4f6ab80>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fa2e4f6ac10>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fa2e4f6aca0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fa2e4f6ad30>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fa2e4f6adc0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fa2e4f67360>"
},
"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": 507904,
"_total_timesteps": 500000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1678125256029095466,
"learning_rate": 0.0001,
"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": 3748,
"n_steps": 512,
"gamma": 0.997,
"gae_lambda": 0.95,
"ent_coef": 6.38e-06,
"vf_coef": 0.5,
"max_grad_norm": 0.31,
"batch_size": 32,
"n_epochs": 5,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}