File size: 13,777 Bytes
1211343 |
1 |
{"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 0x7c99090216c0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c9909021750>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c99090217e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c9909021870>", "_build": "<function ActorCriticPolicy._build at 0x7c9909021900>", "forward": "<function ActorCriticPolicy.forward at 0x7c9909021990>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7c9909021a20>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c9909021ab0>", "_predict": "<function ActorCriticPolicy._predict at 0x7c9909021b40>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c9909021bd0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c9909021c60>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7c9909021cf0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c9908fcc180>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 2506752, "_total_timesteps": 2500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1720470697820997324, "learning_rate": 0.0003, "tensorboard_log": null, "_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": -0.0027007999999999477, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 612, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.1, "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, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}} |