Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning 事件

Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning arXiv:2603.24324v4 Announce Type: replace-cross Abstract: Designing effective auxiliary rewards for cooperative multi-agent systems remains challenging, as misaligned incentives can induce suboptimal coordination, particularly when sparse task rewards provide insufficient grounding for coordinated behavior. This study introduces an autonomous reward design framework that uses large langu