PPO-LunarLander-v2 / config.json
asuzuki's picture
first commit - model PPO performing good
71e2525
{"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 0x7fa50446e0d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fa50446e160>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fa50446e1f0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fa50446e280>", "_build": "<function ActorCriticPolicy._build at 0x7fa50446e310>", "forward": "<function ActorCriticPolicy.forward at 0x7fa50446e3a0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fa50446e430>", "_predict": "<function ActorCriticPolicy._predict at 0x7fa50446e4c0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fa50446e550>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fa50446e5e0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fa50446e670>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fa504466a20>"}, "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": 1672993595955599206, "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-glibc2.27 #1 SMP Sat Dec 10 16:00:40 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"}}