Biography :

Guan Weifan graduated with a bachelor's degree from Harbin Institute of Technology and a master's degree from the Institute of Automation,Chinese Academy of Sciences. His supervisor was Professor Cheng Jian. His research direction during the master's degree was reinforcement learning and imitation learning, with the aim of improving the performance of intelligent agent in decision-making tasks through environmental feedback and human guidance. At present, his research interests are focused on intelligent cognition and decision-making, aiming to build a universal decision model (large decision model) suitable for various decision tasks, and to improve the comprehensive performance of intelligent agent when facing different decision tasks in complex scenes by combining visual-language models.