Jaeyoung Lee
Research Fellow at The University of Manchester
United Kingdom
Summary
👤
Senior🎓
Top SchoolJaeyoung Lee is a research-focused reinforcement learning specialist with eight years of postdoctoral experience applying deep, constrained, and imitation RL to safety-critical systems, particularly autonomous driving. Currently a Research Fellow at the Centre for AI Fundamentals, University of Manchester, he explores interdisciplinary topics including AI-assistants, explainable RL, and game-theoretic decision-making. His prior postdoctoral work under leading RL researchers at Waterloo and Alberta emphasized continuous-time/space RL, policy distillation for verification, and advanced prioritization techniques. Trained in control and RL at Yonsei University, he blends theoretical optimal-control perspectives with practical safety and verification needs in real-world systems. Colleagues note his knack for translating rigorous RL theory into verifiable components for autonomy and human-AI collaboration.
8 years of coding experience
1 year of employment as a software developer
박사, 전기전자-강화학습 및 제어, 박사, 전기전자-강화학습 및 제어 at Yonsei University
Korean, English
Github Skills (7)
theano7
keras5
machine-learning4
reinforcement-learning4
deep-learning3
deep-reinforcement-learning3
tensorflow3
Programming languages (1)
Github contributions (5)
jyounglee/LQR-integral-Q-learning
Jun 2020 - Jan 2022
Contributions:6 commits, 5 pushes, 1 branch in 1 year 7 months
jyounglee/RL_Study
Sep 2017 - Jul 2018
Contributions:4 pushes, 4 branches in 9 months
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