Zi-Yun Xiong

SRPO: Setwise Relative Policy Optimization for Multi-Agent LLMs

Multi-agent large language models solve complex tasks by coordinating several policies in a shared environment. However, existing reinforcement learning methods usually optimize each response or trajectory separately, even when several outputs jointly cause one state transition. Consequently, the update unit differs fr...