Translated Data: The ReMax algorithm is designed for RLHF tasks, featuring observation-based characteristics and greedy reward generation to reduce computational overhead, making it more efficient compared to PPO. Studies show that it decreases GPU memory usage and enhances training speed. Addressing the GPU demand issue for large models, ReMax offers a potentially universal solution.