| {"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 0x7f1916915f70>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f191691b040>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f191691b0d0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f191691b160>", "_build": "<function ActorCriticPolicy._build at 0x7f191691b1f0>", "forward": "<function ActorCriticPolicy.forward at 0x7f191691b280>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f191691b310>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f191691b3a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f191691b430>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f191691b4c0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f191691b550>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f191691b5e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f1916914750>"}, "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": 1675048977739839664, "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:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": 62500, "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-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}} |