I am Ruimin Dai, a first-year Ph.D. Student in Computer Science at Clemson University. My research interests include Offline Reinforcement Learning and Multi-Agent Reinforcement Learning. I am broadly interested in developing reliable and efficient reinforcement learning medthods for decision-making problems.

Selected Publication

• [arXiv 2025] Chongyu Bao, Ruimin Dai,  Yangbo Shen, Runyang Jian, Jinghan Zhang, Xiaolan Liu, Kunpeng Liu.   Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents

Experience