Reinforcement Learning
Chung-Ang University
Academic Community
Academic Services
Reviewing service, university teaching, and student support activities.
Reviewer
| TMLR | 2023, 2024, 2025 |
|---|---|
| JMLR | 2023 |
| ICML | 2023, 2024, 2026 · Gold Reviewer |
| ICLR | 2024 |
| NeurIPS | 2022, 2023, 2024, 2025, 2026 |
| COLT | 2024, 2025, 2026 |
| Management Science | 2024 |
Instructor
Deep Reinforcement Learning
Chung-Ang University
AI in Cybersecurity
Chung-Ang University
Mathematics for Machine Learning
Chung-Ang University
Algorithm
Chung-Ang University
Principles of Data Science (CSC380)
University of Arizona
Course homepage →Projects
Physical AI Components Testbed and Commercialization Initiative
Main Committee Member
Provable Statistical Reinforcement Learning Algorithms
Basic Research Project · National Research Foundation of Korea
AI-Based Algorithm for Blade Resonance-Avoidance Design
Doosan–CAU AI Joint Research
AI Graduate School Project
Department of Artificial Intelligence, Chung-Ang University
Medical AI Specialized Convergence Talent Training Program
Department of Artificial Intelligence, Chung-Ang University
Presentations
Three ICML Workshop Posters
Stability and Generalization for Bellman Residuals; Globally Convergent Offline Reinforcement Learning with Smoothed Bellman Residual Minimization; Efficient Algorithms for Contextual Apple Tasting with Log-Loss · Seoul, Korea
Statistical Testing and Recommender System using BAI
HyperConnect Presentation · Seoul, Korea
Introduction to AI and Its Applications in Construction
ICPMP Presentation, Seoul National University · Seoul, Korea
Exploring Exploration Strategies in Reinforcement Learning
Workshop on Online Learning and Optimization · Tokyo, Japan
Exploring Exploration Strategies in Reinforcement Learning
KAIST SAARC Presentation · Daejeon, Korea
Two NeurIPS Posters
Fixed Confidence Best-Arm Identification in the Bayesian Setting; Sparsity-Agnostic Linear Bandits with Adaptive Adversaries · Vancouver, Canada
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
ELLIS Milan Pre-NeurIPS Fest · Milan, Italy
Exploring Exploration Strategies in Reinforcement Learning
POSTECH GSAI/CSE Special Seminar · Virtual
Fixed Confidence Best-Arm Identification in the Bayesian Setting
The Second RL Theory Workshop · Poster · Edmonton, Canada
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
ICML · Poster · Vienna, Austria
Improved Time-Uniform PAC-Bayes Bounds using Coin Betting
ICML Workshop: PAC-Bayes Meets Interactive Learning · Contributed Talk and Poster · Hawaii, U.S.
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
NeurIPS · Spotlight and Poster · New Orleans, U.S.
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Simons Institute Workshop: Quantifying Uncertainty · Poster · Berkeley, U.S.
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
ICML · Spotlight and Poster · Virtual
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
Korea AI Association Best Paper Session · Daejeon, Korea
Hyperbolic Variational Autoencoder
Center for SuperIntelligence Workshop · Pangyo, Korea
Honors and Awards
NeurIPS Scholar Award
36th Conference on Neural Information Processing Systems
Best of the Best Security Leader Education Student
Korea Institute of Science and Technology Information (KISTI)
Math Problem of the Week · 1st Prize
Korea Advanced Institute of Science and Technology (KAIST)
Presidential Fellowship
Korea Advanced Institute of Science and Technology (KAIST)
Presidential Science Scholarship
Korea Student Aid Foundation (KOSAF)
30th University Students Contest of Mathematics · Silver Prize
Korean Mathematical Society
Miscellaneous
Teaching Assistant · KAIST
Calculus; Introduction to Linear Algebra; Stochastic Differential
Equations; Introduction to Differential Equations; Introduction to
Partial Differential Equations; Lebesgue Integration Theory; Probability
and Statistics.
Counseling Assistant · KAIST
Provided academic and personal counseling support for undergraduate and
graduate students.