a2c-AntBulletEnv-v0 / config.json
parinzee's picture
Initial commit
b890162
{"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 0x7f61f00ea940>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f61f00ea9d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f61f00eaa60>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f61f00eaaf0>", "_build": "<function ActorCriticPolicy._build at 0x7f61f00eab80>", "forward": "<function ActorCriticPolicy.forward at 0x7f61f00eac10>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f61f00eaca0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f61f00ead30>", "_predict": "<function ActorCriticPolicy._predict at 0x7f61f00eadc0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f61f00eae50>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f61f00eaee0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f61f00eaf70>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f61f00f0080>"}, "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": 514760, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1680604445497527829, "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": 0.485248, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 16086, "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": "2.0.0+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}