ppo-LunarLander-v2 / config.json
M331's picture
Upload PPO LunarLander-v2 trained agent
19489ba
{"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 0x7f1df37979d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f1df3797a60>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f1df3797af0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f1df3797b80>", "_build": "<function ActorCriticPolicy._build at 0x7f1df3797c10>", "forward": "<function ActorCriticPolicy.forward at 0x7f1df3797ca0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f1df3797d30>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f1df3797dc0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f1df3797e50>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f1df3797ee0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f1df3797f70>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f1df379a040>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f1df37936f0>"}, "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": 1677623120487870293, "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": "1.22.4", "Gym": "0.21.0"}}