| {"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 0x7bd8c773c0d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7bd8c773c160>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7bd8c773c1f0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7bd8c773c280>", "_build": "<function ActorCriticPolicy._build at 0x7bd8c773c310>", "forward": "<function ActorCriticPolicy.forward at 0x7bd8c773c3a0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7bd8c773c430>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7bd8c773c4c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7bd8c773c550>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7bd8c773c5e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7bd8c773c670>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7bd8c773c700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bd8c78cda40>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1000448, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1711712894255339527, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAADMmHr1S2p06d9qSvK5W5r1W83Y86hTPvgAAAAAAAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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": 3908, "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": 1, "n_steps": 1024, "gamma": 0.987, "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-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.2.1+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}} |