PPO_Lander_V2 / config.json
Harri's picture
Harri/PPO-LunadLander-v2
3c61e0f
{"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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7fea9b6f89d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fea9b6f8a60>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fea9b6f8af0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fea9b6f8b80>", "_build": "<function ActorCriticPolicy._build at 0x7fea9b6f8c10>", "forward": "<function ActorCriticPolicy.forward at 0x7fea9b6f8ca0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fea9b6f8d30>", "_predict": "<function ActorCriticPolicy._predict at 0x7fea9b6f8dc0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fea9b6f8e50>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fea9b6f8ee0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fea9b6f8f70>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fea9b6fb0c0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1671124628424438295, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAOB0Kr72BmC8VPk9ufnAm7e6R8A9qIF9OAAAgD8AAAAAbf1LPsgfurwo4Fw7UQDKuQa1Ir62n6O6AACAPwAAgD9mOmg8a2qyPx4H7j7vyY6+QjsqvPkBxrwAAAAAAAAAAO0gID4FwMw8BncLvpakMb7zbwe77RTFPAAAAAAAAAAAOu4ZvtpYoj/BsMC+Ny0fvyCi+b3B97u9AAAAAAAAAAB6sRG+oiqmP65gHb9tGgK/+zURvqvga74AAAAAAAAAAKqujb6OHpo/FjICvxXxLr82qnu+cIumvQAAAAAAAAAAhpdJPg5S6bwyYE87YdbtuYyTTr6/go26AACAPwAAgD/AeaG9KQQlummCnjk9b4y4akogO8amp7gAAIA/AACAP1rd7z0UsNW6SrKUO+6LrzxNhxy68qOQvQAAgD8AAIA/5j9dvmNLcD27DKU9+7UavoWjLL1CRGi8AAAAAAAAAAAtrUE+s6RAPzAeiD52UiC/cjObPkY+Iz0AAAAAAAAAADrSsD5SPik/i84IPneA9r4jY4g+r1HIvQAAAAAAAAAAWv5Dvts0rrzy/IC5wHzxt4EFGj7in6s4AACAPwAAgD8zlGu+XGIEvDpwOTv1ONs4xC5gPRtwVroAAIA/AACAP8C7LD74now8jAaGvX/7ELyDvhc+Ka8SvQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 310, "n_steps": 2048, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.8.16", "Stable-Baselines3": "1.6.2", "PyTorch": "1.13.0+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}