a2c-AntBulletEnv-v0 / config.json
GrimReaperSam's picture
Initial commit
94ccb12
{"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 0x7f9fd931dee0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9fd931df70>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f9fd9322040>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f9fd93220d0>", "_build": "<function ActorCriticPolicy._build at 0x7f9fd9322160>", "forward": "<function ActorCriticPolicy.forward at 0x7f9fd93221f0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f9fd9322280>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f9fd9322310>", "_predict": "<function ActorCriticPolicy._predict at 0x7f9fd93223a0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f9fd9322430>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f9fd93224c0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f9fd9322550>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f9fd931a690>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "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:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAIC/AACAvwAAgL8AAIC/AACAvwAAgL8AAIC/AACAv5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIA/AACAPwAAgD8AAIA/AACAPwAAgD8AAIA/AACAP5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAQEBAQEBAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAEBAQEBAQEBlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "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": 1676557817037779480, "learning_rate": 0.0007, "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": false, "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": 100000, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.15.0-56-generic-x86_64-with-glibc2.10 # 62-Ubuntu SMP Tue Nov 22 19:54:14 UTC 2022", "Python": "3.8.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu117", "GPU Enabled": "True", "Numpy": "1.22.0", "Gym": "0.21.0"}}