| {"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 0x7f555591a320>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f555591a3b0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f555591a440>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f555591a4d0>", "_build": "<function ActorCriticPolicy._build at 0x7f555591a560>", "forward": "<function ActorCriticPolicy.forward at 0x7f555591a5f0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f555591a680>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f555591a710>", "_predict": "<function ActorCriticPolicy._predict at 0x7f555591a7a0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f555591a830>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f555591a8c0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f555591a950>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f5555b124c0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1000448, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1685454421598537762, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAADPl9LwMbQI+TtRkO/r0aL47hgY77WnrPAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.00044800000000000395, "_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": 8064, "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 1, "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-5.15.107+-x86_64-with-glibc2.31 # 1 SMP Sat Apr 29 09:15:28 UTC 2023", "Python": "3.10.11", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.0.1+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}} |