ppo-lunarLander-v1 / config.json
bonadio's picture
Just init
d97a590
{"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 0x7f7571925160>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f75719251f0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7571925280>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f7571925310>", "_build": "<function ActorCriticPolicy._build at 0x7f75719253a0>", "forward": "<function ActorCriticPolicy.forward at 0x7f7571925430>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f75719254c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f7571925550>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f75719255e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f7571925670>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f7571925700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f7571920600>"}, "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:": "gAWViAAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////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": 1670370384603833571, "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": 260, "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-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.8.15", "Stable-Baselines3": "1.6.2", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}