2 papers
cs.AI2026
Rethinking Multi-Agent Collaboration: When More Is Less
Yishuo Yuan, Yibo Wu, Yihan Zhang +5
The rapid advancement of large language models and single-agent harnesses has reshaped the landscape of autonomous systems, raising a critical question of when multi-agent collabor…
cs.AI2026
Don't Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL
Ruiming Liang, Yi Zhong, Yizhen Yuan +6
Modern large language models (LLMs) are expected not just to answer correctly, but to adapt their behavior to different human values and use cases. As a result, multi-reward reinfo…