Bridging Theoretical Foundations and Real-World Decision Making

Decision Intelligence & Learning Lab @ Yonsei University

At the Decision Intelligence & Learning Lab, we aim to build mathematically grounded yet practical reinforcement learning systems. Our research focuses on enabling agents to learn reliable and robust behaviors from imperfect, heterogeneous, and large-scale data.

We tackle the core challenges of modern AI, from theoretical RL and optimization to decision-making foundation models, applying these principles to complex sequential decision-making problems. We invite motivated researchers to join us in advancing the frontiers of data-efficient and safe AI.