ppo-LunarLander-v2 / config.json
FrancoisDongier's picture
Upload PPO LunarLander-v2 trained agent
df4dd95
raw
history blame contribute delete
No virus
14.4 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 0x7f3186d1edc0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f3186d1ee50>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f3186d1eee0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f3186d1ef70>", "_build": "<function ActorCriticPolicy._build at 0x7f3186d22040>", "forward": "<function ActorCriticPolicy.forward at 0x7f3186d220d0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f3186d22160>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f3186d221f0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f3186d22280>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f3186d22310>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f3186d223a0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f3186d22430>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f3186d1d450>"}, "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": 1676324706567938055, "learning_rate": 0.0003, "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:": "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": 248, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "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-glibc2.29 # 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"}}