a2c-AntBulletEnv-v0 / config.json
rishipatel92's picture
Initial commit
ff98961
{"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 0x7f879b987af0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f879b987b80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f879b987c10>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f879b987ca0>", "_build": "<function ActorCriticPolicy._build at 0x7f879b987d30>", "forward": "<function ActorCriticPolicy.forward at 0x7f879b987dc0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f879b987e50>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f879b987ee0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f879b987f70>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f879b98b040>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f879b98b0d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f879b98b160>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f879b9807e0>"}, "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": 2000016, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1674046877349465598, "learning_rate": 0.00098, "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": -8.000000000008e-06, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 55556, "n_steps": 9, "gamma": 0.98, "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"}}