3 papers
cs.CL2026
Streaming Communication in Multi-Agent Reasoning
Zhen Yang, Xiaogang Xu, Wen Wang +3
Multi-agent reasoning systems adopt a "generate-then-transfer" paradigm that forces end-to-end latency to scale linearly with pipeline depth. We introduce StreamMA, a multi-agent r…
cs.LG2026
Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions
Guo Gan, Yuxuan Ding, Cong Chen +3
Online reinforcement learning (RL) serves as an effective method for enhancing the capabilities of Android agents. However, guiding agents to learn through online interaction is pr…
cs.MA2026
Competition and Cooperation of LLM Agents in Games
Jiayi Yao, Cong Chen, Baosen Zhang
Large language model (LLM) agents are increasingly deployed in competitive multi-agent settings, raising fundamental questions about whether they converge to equilibria and how the…