| {"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 0x79b0e2d0c0e0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x79b0e2d0c180>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x79b0e2d0c220>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x79b0e2d0c2c0>", "_build": "<function ActorCriticPolicy._build at 0x79b0e2d0c360>", "forward": "<function ActorCriticPolicy.forward at 0x79b0e2d0c400>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x79b0e2d0c4a0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x79b0e2d0c540>", "_predict": "<function ActorCriticPolicy._predict at 0x79b0e2d0c5e0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x79b0e2d0c680>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x79b0e2d0c720>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x79b0e2d0c7c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x79b0e51f4fc0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1741946484919407339, "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": -0.015808000000000044, "_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": 248, "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": 0.01, "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, "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": "3.11.11", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.5.1+cu124", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}} |