a2c-AntBulletEnv-v0 / config.json
artbreguez's picture
Initial commit
f2aa30e
raw
history blame
14.3 kB
{"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 0x7fb950d9e710>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb950d9e7a0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb950d9e830>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb950d9e8c0>", "_build": "<function ActorCriticPolicy._build at 0x7fb950d9e950>", "forward": "<function ActorCriticPolicy.forward at 0x7fb950d9e9e0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb950d9ea70>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb950d9eb00>", "_predict": "<function ActorCriticPolicy._predict at 0x7fb950d9eb90>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb950d9ec20>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb950d9ecb0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb950d9ed40>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fb950d97640>"}, "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": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679959760072894617, "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": 62500, "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-5.19.0-35-generic-x86_64-with-glibc2.35 # 36~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Feb 17 15:17:25 UTC 2", "Python": "3.10.6", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+cu117", "GPU Enabled": "False", "Numpy": "1.24.2", "Gym": "0.21.0"}}