ppo-MountainCar-v0 / config.json
Gumibit's picture
Upload PPO MountainCar-v0 trained agent
2ad2bfe
raw
history blame contribute delete
No virus
12.1 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 0x7fcf2b76e670>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcf2b76e700>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcf2b76e790>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fcf2b76e820>", "_build": "<function ActorCriticPolicy._build at 0x7fcf2b76e8b0>", "forward": "<function ActorCriticPolicy.forward at 0x7fcf2b76e940>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fcf2b76e9d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fcf2b76ea60>", "_predict": "<function ActorCriticPolicy._predict at 0x7fcf2b76eaf0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fcf2b76eb80>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fcf2b76ec10>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fcf2b76eca0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fcf2b7678d0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVYwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLAoWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAACamZm/KVyPvZRoCksChZSMAUOUdJRSlIwEaGlnaJRoEiiWCAAAAAAAAACamRk/KVyPPZRoCksChZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolgIAAAAAAAAAAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLAoWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYCAAAAAAAAAAEBlGghSwKFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "dtype": "float32", "_shape": [2], "low": "[-1.2 -0.07]", "high": "[0.6 0.07]", "bounded_below": "[ True True]", "bounded_above": "[ True True]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLA4wGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 3, "_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": 1673802109796497428, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAAD5SCb+Jm0I8CvsDvwlv/bty1Qi/xcMPPMbP1b4KNiW7Y1YAv9vMajwnf8++KTZDPKsJ5L4eS/Y7MFkNv+BTFjwA7wm/Qbo3PMhs3b49YkG8PCb6vjeBabukXBW/VHRYPHri6L6ujCC74/7CvrGu77t25NG+VjzXOK+myr5gnde7lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwKGlIwBQ5R0lFKULg=="}, "_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": 0.999, "gae_lambda": 0.95, "ent_coef": 0.01, "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-5.10.147+-x86_64-with-glibc2.27 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.0+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}