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cs.AI2025
MAPF-World: Action World Model for Multi-Agent Path Finding
Zhanjiang Yang, Yang Shen, Yueming Li +2
Multi-agent path finding (MAPF) studies the problem of planning conflict-free paths for multiple agents from given start locations to designated goals, with applications in robot-a…
cs.AI2025
Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents
Chongyu Bao, Ruimin Dai, Yangbo Shen +4
Intelligent personal assistants (IPAs) such as Siri and Google Assistant are designed to enhance human capabilities and perform tasks on behalf of users. The emergence of LLM agent…