Yi Wu

Former OpenAI researcher and assistant professor at Tsinghua University's Institute of Cross-Informatics

Wu Yi is an Assistant Professor and Ph.D. supervisor at the Institute for Interdisciplinary Information Sciences, Tsinghua University, and the lead of the intelligent agent reinforcement learning framework AReaL. He received his Ph.D. from the University of California, Berkeley in 2019 and was formerly a full-time researcher at OpenAI. His research focuses on reinforcement learning, reasoning models, and general-purpose agents. His representative works include state-of-the-art multi-agent learning algorithms MAPPO/MADDPG and OpenAI’s multi-agent hide-and-seek project. He has received multiple awards, including the NeurIPS 2016 Best Paper Award, ICRA 2024 Best Demo Award Finalist, WAIC 2025 Yunfan Award, and MIT Technology Review Asia-Pacific 35 Under 35.