Jaeyoung Lee | See Curriculum Vitae for details

Research Fellow (2024.01~Present)

at Centre for AI Fundamentals (Computer Science)

University of Manchester, Manchester, UK.

Research Associate (2021.02~2022.03) / Postdoctoral Fellow (2018.01~2021.01)

at Waterloo Intelligent Software Engineering (WISE) Lab. (Electrical and Computer Engineering)

University of Waterloo, Waterloo, ON, Canada.

Postdoctoral Fellow (2015.9~2017.12)

at Reinforcement Learning and Artificial Intelligence (RLAI) Lab. (Computing Science)

University of Alberta, Edmonton, AB, Canada.

Education

Ph.D. in Electrical & Electronics Engineering, Yonsei University, Seoul, South Korea, 2015

Area of Specialization: Reinforcement Learning and Optimal Control [ Ph. D. dissertation ]

B.E. in Information and Control Engineering, Kwangwoon University, Seoul, Korea, 2006

Major: Information & Control Engineering.   Minor: Electronic Engineering

Area of Specialization: Reinforcement Learning

Current Research Interests: User-Modelling, AI-Assistant, and BED, with RL

1) Uncertainty quantification and robust user model under misspecification

2) User model and its amortisation in Markov decision process under time and contextual preference reversals

3) Human-in-the-loop optimisation of and inference in generative diffusion processes

Other Research Interests on Decision-Making and Optimal Control

1) Safe/deep reinforcement and imitation learning, e.g. for autonomous driving

2) Reinforcement learning and optimal control in continuous domain

3) Control, game and multi-agent theory, e.g. for autonomous driving

Other Materials: Studies and Self-writings on Measure Theory and Integrations

Study Materials on Folland, G.B. (2013). Real Analysis: Modern Techniques and their Applications. John Wiley & Sons

and more... Lee, J. (2022). Real Analysis, Probability, and Random Processes with Measure Theory (in progress) [PDF]