Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling

Yiran Guo, Zhongjian Qiao, Yingqi Xie +5

Effective exploration is a key challenge in reinforcement learning for large language models: discovering high-quality trajectories within a limited sampling budget from the vast n…