Inguk Choi

(Last updated: Dec. 2025)

📚 Education

KAIST (Korea Advanced Institute of Science and Technology), Daejeon, South Korea
- Integrated Master's and Ph.D. Student, Industrial and Systems Engineering
- Mar. 2024 – Present
- Advisor: Prof. Hyun-Jung Kim
Ajou University, Suwon, South Korea
- B.S., Industrial Engineering
- Mar. 2018 – Feb. 2024
  - Military Service: Apr. 2019 – Nov. 2020
- GPA: 4.26/4.5 (Rank: 2/94)

😍 Research Interests

🚀 Under Review/Accepted

S.-H. Cho, I. Choi, B. Choi, and H.-J. Kim, "Multi Objective Scheduling for Photolithography Process Using Graph Based Reinforcement Learning"
- Under review at IEEE Transactions on Automation Science and Engineering (IEEE T-ASE)
I. Choi, W.-J. Shin, and H.-J. Kim, "Preference-Guided Multi-Policy Optimization for Solving Flexible Job Shop Scheduling"
- Under major revision at IEEE Transactions on Industrial Informatics (IEEE TII)

📖 Publications

W.-J. Shin, I. Choi, S.-H. Cho, and H.-J. Kim, "Learning to Retrieve Containers: A Scale-Diverse Deep Reinforcement Learning Approach for the Container Retrieval Problem", Transportation Research Part C: Emerging Technologies (TR-C), vol.183, 2026. [Paper] [Code]
(†: Equal contribution) J.-M. Park†, I. Choi†, and H.-J. Kim, "A Multi-View Attention-Based Encoder-Decoder Framework for Clustered Traveling Salesman Problem", IEEE Robotics and Automation Letters (IEEE RA-L), vol.11, no.1, pp.137-144, 2026. [Paper] [Code]
I. Choi, W.-J. Shin, S. Cho, and H.-J. Kim, "Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling", The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, 2025. [Paper] [Code]

🗣 Conference Presentation

W.-J. Shin, D. Oh, I. Choi, M. Wiktorsson, E. Flores-García, Y. Jeong, and H.-J. Kim, "Learning-based Scheduling for Stochastic Job Shop Scheduling with Mobile Robots", Winter Simulation Conference (WSC), Seattle, USA, 2025.
I. Choi, S.-Y. Hwang, J. Ahn, J. Lee, S. Joo, K. Kim, H. Lee, Y. Song, and H.-J. Kim, "An Empirical Study on the Assessment of Demand Forecasting Reliability for Fabless Semiconductor Companies", Winter Simulation Conference (WSC), Seattle, USA, 2025.
I. Choi and H.-J. Kim, "Adaptive Self-Supervised Learning for Solving Flow Shop Scheduling Problems", IEEE International Conference on Automation Science and Engineering (IEEE CASE), Los Angeles, USA, 2025.

I. Choi, H.-J. Kim, "A Self-Imitation Learning Framework for Neural Dispatching Rule Optimization ", the Spring Conference of Korea Institute of Industrial Engineers, Jeju, South Korea, 2025.
S.-H. Cho, S.-H. Jung, I. Choi, B. Choi, B. Han, and H.-J. Kim, "Multi-objective Scheduling for Photo Process Using Reinforcement Learning", the Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, 2025.
(†: Equal contribution) J.-M. Park†, I. Choi†, S.-H. Cho and H.-J. Kim, "Deep Reinforcement Learning-based Encoder-Decoder Framework for The Clustered Traveling Salesman Problem", the Autumn Conference of Korea Institute of Industrial Engineers, Seoul, South Korea, 2024.

✅ Projects

국방지능형 군집체계 연구센터
- Defense intelligent swarm systems research center
- with ITRC
- May. 2024 - present
제조 환경 변화에 유연하게 대응가능한 자율운영 스케줄링 방법론 개발

Autonomous scheduling for swift and efficient adaptation to dynamic manufacturing environments
with National Research Foundation (NRF) of Korea
May. 2024 - present

🏆 Grants

Grand award (1st place), Graduate Students Poster Competition
- KAIST, South Korea
- Nov. 2025
Gold prize (2nd place), National Defense Competition for Graduate Students

Encouragement award (5th place), 19th Industrial Engineering Project Competition for Undergraduate Students

Excellence award (3rd place), College of Engineering Self-development Competition

Encouragement Award (3rd place), Foreigner Administration Public Data Analysis Competition
- Ministry of Justice, South Korea
- Jul. 2022
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