Byung-Jun Lee

Assistant Professor

Byung-Jun Lee is currently an assistant professor in the Department of Artificial Intelligence at Korea University. He is also a part-time applied scientist in Gauss Labs Inc. He obtained Ph.D. degree in Computer Science from KAIST in 2021 with the best thesis award. Department of Artificial Intelligence / National AI Research Lab / Gauss Labs Inc

Ph.D. thesis

Algorithms for efficient offline reinforcement learning
Byung-Jun Lee, School of Computing, KAIST, 2021. Best Thesis Award in KAIST CS.
Advisor: Kee-Eung Kim, Graduate School of AI, KAIST

Research overview

Interested in models and algorithms for data-driven sequential decision making (e.g. Reinforcement Learning), and their applications.

• Efficient model architecture, learning and representations

• Effcient algorithms for realistic problem settings (reinforcement/imitation learning for safe, constrained, offline, multi-task decision making in possibly non-stationary environments)

• Applications to real-world problems (dialog management, manufacturing process automation, power network management, etc.)

Contact

Email: byungjunlee@korea.ac.kr