Jingqi Li
Peter O'Donnell, Jr. Postdoctoral Fellowship in Computational Engineering and Sciences
Research Fellow Oden Institute
Centers and Groups
Research Interests
Reinforcement Learning Game Theory Control TheoryBiography
Jingqi Li is a Peter O’Donnell Jr. Postdoctoral Fellow at the University of Texas at Austin, where he works with Professor David Fridovich-Keil on game-theoretic autonomy and learning. He received his Ph.D. in Electrical Engineering and Computer Sciences (EECS) from the University of California, Berkeley, in 2025, advised by Professor Claire Tomlin and Professor Somayeh Sojoudi.
His research develops theoretical and algorithmic foundations for multi-agent autonomy, enabling intelligent agents to plan, learn, and interact safely under uncertainty and information asymmetry. Drawing on dynamic game theory, control, and reinforcement learning, he studies how agents anticipate and adapt to one another’s behaviors to achieve safe and efficient coordination. He is particularly interested in principled methods that bridge theory and practice, with applications in autonomous driving, drone racing, air mobility, and multi-robot manipulation.