a2c-AntBulletEnv-v0 / config.json
ThomasSimonini's picture
Initial commit
5c1d674
{"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 0x7f6855672670>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6855672700>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6855672790>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6855672820>", "_build": "<function ActorCriticPolicy._build at 0x7f68556728b0>", "forward": "<function ActorCriticPolicy.forward at 0x7f6855672940>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f68556729d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6855672a60>", "_predict": "<function ActorCriticPolicy._predict at 0x7f6855672af0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6855672b80>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6855672c10>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6855672ca0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f68556d8bd0>"}, "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": 1389188, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1673896273274332155, "learning_rate": 0.00096, "tensorboard_log": "./tensorboard", "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": 0.305408, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 43412, "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-glibc2.27 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.0+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}