a2c-AntBulletEnv-v0 / config.json
andylolu24's picture
Initial commit
93ffa1a
{"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 0x7f737940fee0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f737940ff70>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7379414040>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f73794140d0>", "_build": "<function ActorCriticPolicy._build at 0x7f7379414160>", "forward": "<function ActorCriticPolicy.forward at 0x7f73794141f0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f7379414280>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f7379414310>", "_predict": "<function ActorCriticPolicy._predict at 0x7f73794143a0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f7379414430>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f73794144c0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f7379414550>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f7379a451c0>"}, "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": 500000, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679168387912523509, "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": 15625, "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-6.1.11-100.fc36.x86_64-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Feb 9 20:36:30 UTC 2023", "Python": "3.9.15", "Stable-Baselines3": "1.8.0a9", "PyTorch": "1.11.0+cu102", "GPU Enabled": "True", "Numpy": "1.21.2", "Gym": "0.21.0"}}