ppo-LunarLander-v2 / config.json
jungwhank's picture
Push LunarLander-v2 model
bf9cd77
{"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 0x7f6905608af0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6905608b80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6905608c10>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6905608ca0>", "_build": "<function ActorCriticPolicy._build at 0x7f6905608d30>", "forward": "<function ActorCriticPolicy.forward at 0x7f6905608dc0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6905608e50>", "_predict": "<function ActorCriticPolicy._predict at 0x7f6905608ee0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6905608f70>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f690560c040>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f690560c0d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f69055f7b10>"}, "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": 1672991849834306643, "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"}}