PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code
from huggingface_sb3 import load_from_hub
custom_objects = {
"learning_rate": 0.0,
"lr_schedule": lambda _: 0.0,
"clip_range": lambda _: 0.0,
}
checkpoint = load_from_hub(
"JiemingYou/ppo-LunarLander-v2",
"http:// ppo-LunarLander-v2-test.zip"
)
model = PPO.load(checkpoint, custom_objects=custom_objects, print_system_info=True)
...
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Evaluation results
- mean_reward on LunarLander-v2self-reported274.40 +/- 22.52