EP258: TRACER teaches AI to stay silent

Title: TRACER: Turn-level Regret Matching with Inner Reinforcement Credit for Cooperative Multi-LLM ReasoningSource: http://arxiv.org/abs/2605.28699v1Summary:TRACER introduces a novel turn-level reinforcement framework that unifies regret matching with role-specific rewards to optimize multi-agent cooperation and reasoning. By separating the decision of when to speak from the content of the utterance, it establishes a mathematically rigorous foundation for evolving complex collaborative protocols in multi-LLM systems.