File size: 14,272 Bytes
25893d8 |
1 |
{"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 0x7f7596dc3af0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f7596dc3b80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7596dc3c10>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f7596dc3ca0>", "_build": "<function ActorCriticPolicy._build at 0x7f7596dc3d30>", "forward": "<function ActorCriticPolicy.forward at 0x7f7596dc3dc0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f7596dc3e50>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f7596dc3ee0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f7596dc3f70>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f7596dc7040>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f7596dc70d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f7596dc7160>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f7596dc4120>"}, "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": 1676136929651889495, "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"}} |