Scholar
Byung-Jun Lee
Google Scholar ID: FwoohI4AAAAJ
Korea University
Citations & Impact
Citations
422
H-index
9
i10-index
8
Publications
20
Co-authors
29
list available
Contact
Publications
Resume (English only)
Background
- Currently an Assistant Professor in the Department of Artificial Intelligence at Korea University
- Also serves as a part-time Applied Scientist at Gauss Labs Inc.
- Research interests include models and algorithms for data-driven sequential decision making (e.g., Reinforcement Learning) and their real-world applications
- Focuses on efficient model architectures, learning methods, and representations
- Develops efficient algorithms for realistic problem settings, such as safe, constrained, offline, and multi-task decision making in potentially non-stationary environments
- Applications include dialog management, manufacturing process automation, and power network management
