while0628/LunarLander-v3-u8

PPO from scratch — LunarLander-v3

Trained using a CleanRL-style PyTorch PPO implementation adapted for Gymnasium.

Evaluation over 10 episodes: -229.89 ± 22.10.

• model.pt: actor-critic PyTorch state dict
• ppo.py: full training/evaluation/upload source
• replay.mp4: evaluation video (if rendering succeeded)
• hyperparameters.json: training settings
• eval_results.json: evaluation results

To run locally, install PyTorch, gymnasium[box2d], imageio, imageio-ffmpeg, tensorboard, and huggingface_hub.