Skip What You Can Predict: Predictive Repositioning for Policy Optimization for Efficient LLM Training
Skip What You Can Predict uses Gradient Extrapolation-Based Policy Optimization (GXPO) to approximate longer lookahead steps in reinforcement learning using only three backward passes. It achieves this by reusing existing rollout data and rewards, significantly improving accuracy and speed over standard methods like GRPO.