ppo-LunarLander-v2 / config.json
kyunghwoantr's picture
Upload PPO LunarLander-v2 trained agent
81db186 verified
{"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 0x7f0b2dbeb910>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0b2dbeb9a0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f0b2dbeba30>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f0b2dbebac0>", "_build": "<function ActorCriticPolicy._build at 0x7f0b2dbebb50>", "forward": "<function ActorCriticPolicy.forward at 0x7f0b2dbebbe0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f0b2dbebc70>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f0b2dbebd00>", "_predict": "<function ActorCriticPolicy._predict at 0x7f0b2dbebd90>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f0b2dbebe20>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f0b2dbebeb0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f0b2dbebf40>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f0b2da00180>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1715873650979065446, "learning_rate": 0.0003, "tensorboard_log": null, "_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, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 248, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "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, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.2.1+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}