个人简介：

本科毕业于天津大学（2010-2014），博士毕业于天津大学（2017-2021）。曾在加拿大阿尔伯塔大学从事博士后工作。

主要研究方向为 AI Agent，强化学习，多智能体系统，近五年在人工智能领域发表高水平论文30余篇， 谷歌引用超900余次（2024年11月），长期担任ICML、NeurIPS、ICLR、AAAI等会议，以及TPAMI、JMLR、TNNLS等国际期刊的审稿人。曾获得CCF人工智能与模式识别专委会智能体与多智能体系统优秀博士论文奖。

英文简介：

Dr. Tianpei Yang is currently an Assistant Professor at School of Intelligence Science and Technology at Nanjing University. She received her Ph.D.in 2021 at Tianjin University, supervised by Professor Jianye Hao. After that, Tianpei did a postdoc in Intelligent Robot Learning Lab at the University of Alberta, advised by Matthew E. Taylor. Her research interests focus on deep reinforcement learning (RL) and multiagent systems. She works on exploring how to facilitate efficient, scalable RL and multiagent RL through transfer learning, hierarchical RL, and opponent modeling. She has published over 30 peer-reviewed papers in AI top conferences and journals. Moreover, she is serving as a (Senior) Program Committee member for top international conferences and journals such as ICML, NeurIPS, ICLR, AAAI, TPAMI, JMLR, TNNLS, etc.