|
{ |
|
"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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7f5d60a4dca0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f5d60a4dd30>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f5d60a4ddc0>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f5d60a4de50>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7f5d60a4dee0>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7f5d60a4df70>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f5d60a51040>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7f5d60a510d0>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f5d60a51160>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f5d60a511f0>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f5d60a51280>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc_data object at 0x7f5d60a4a4e0>" |
|
}, |
|
"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": 1671288514468403341, |
|
"learning_rate": 0.0003, |
|
"tensorboard_log": null, |
|
"lr_schedule": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
}, |
|
"_last_obs": { |
|
":type:": "<class 'numpy.ndarray'>", |
|
":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAACOnbwpGEe6bGxHO3z5qDdWTT67yt8eugAAgD8AAIA/rf5DPj9ReT/GG4A9PxCWvn3u1D0pYwq9AAAAAAAAAACTUvY+RwknP+P/7jtNOaG+JRqbPnnmmr0AAAAAAAAAAJorYLyPkla6i+DTNz0HVraA7i27vn+FtQAAgD8AAIA/M6pTveyp1rk+BgC5ml+xMcC3nbqGYRc4AACAPwAAgD8A4A88FDTZunTLrLw7cLY8EI7hO/K6nL0AAIA/AACAP9PbGr4prRI/iQGYPWvYbL7mSzS97ptnPQAAAAAAAAAAszkUPR/d5rmOOpK5c7Tlsz1PzbpG0qo4AACAPwAAgD9mqeK9uB76uWa4p7t1mzs4dhykO53ujDgAAIA/AACAP5r5ob1ca1i6m6kIte/iWq30iUy6oyxyNAAAgD8AAIA/MyN3PSloJLraJJU4L4uYM5NXtjrR5qu3AACAPwAAgD/avpY93I2IPn7WzzzSV1W+k2uJPabVETsAAAAAAAAAAKaLFD6MDKU+mk0/vtQNiL6fbtW7ipFLvQAAAAAAAAAAZiZZOo/GWLqZDpu2xqmOsedbeTim+7g1AACAPwAAgD9T6w8+H8Xju0IV97oL37c4HzcvvZ7BIDoAAIA/AACAP5MCG77/TBw/LG8PPV15tb7kvMu9wt0wPQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg==" |
|
}, |
|
"_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": 248, |
|
"n_steps": 1024, |
|
"gamma": 0.999, |
|
"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 |
|
} |