| {"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 0x7fe80de158b0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fe80de15940>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fe80de159d0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fe80de15a60>", "_build": "<function ActorCriticPolicy._build at 0x7fe80de15af0>", "forward": "<function ActorCriticPolicy.forward at 0x7fe80de15b80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fe80de15c10>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fe80de15ca0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fe80de15d30>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fe80de15dc0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fe80de15e50>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fe80de15ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fe80de19100>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [28], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]", "high": "[1. 1. 1. 1. 1. 1. 1. 1.]", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678779075170784245, "learning_rate": 0.00096, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQCUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_episode_num": 0, "use_sde": true, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 125000, "n_steps": 8, "gamma": 0.99, "gae_lambda": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}} |