AdonaiHS's picture
Firts commit of an the 1st trained agent
3634fdd
{
"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 0x7fd4f695a790>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd4f695a820>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd4f695a8b0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd4f695a940>",
"_build": "<function ActorCriticPolicy._build at 0x7fd4f695a9d0>",
"forward": "<function ActorCriticPolicy.forward at 0x7fd4f695aa60>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fd4f695aaf0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd4f695ab80>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fd4f695ac10>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd4f695aca0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd4f695ad30>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd4f695adc0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fd4f6952b70>"
},
"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": 1675279058283649382,
"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:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}