ppo-LunarLander-v2 / config.json
shonRockey's picture
Upload PPO LunarLander-v2 trained agent
89bed76 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 0x7b097fc46cb0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b097fc46d40>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b097fc46dd0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b097fc46e60>", "_build": "<function ActorCriticPolicy._build at 0x7b097fc46ef0>", "forward": "<function ActorCriticPolicy.forward at 0x7b097fc46f80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b097fc47010>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b097fc470a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7b097fc47130>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b097fc471c0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b097fc47250>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b097fc472e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b097fbde9c0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1710279627388267169, "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": "2.1.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}