About

Education

  • Ph.D. Candidate, KAIST, Department of Industrial & Systems Engineering, Sep 2020 - Present
  • M.S., KAIST, Department of Industrial & Systems Engineering, Mar 2018 - Feb 2020
  • B.S., KAIST, Department of Industrial & Systems Engineering, Feb 2018

Research Interests

  • System design framework for multi-agent systems
  • Multi-agent reinforcement learning
  • Non-cooperative multi-agent systems
  • Partially controlled multi-agent systems

Professional Experience

  • Research Assistance, KAIST, Department of Industrial & Systems Engineering, Mar 2020 - Aug 2020

Working Paper

  • "Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems," Park, K., Molina Concha, D., Lee, H. R., Lee, C. G., and Lee, T., ArXiv, 2025
  • "Reward design in multi-agent systems using successor features and multi-information source Bayesian optimization," Park, K., Molina Concha, D., Lee, H. R., Lee, T., and Lee, C. G., (under revision), IJMLC, 2025
  • "Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration," Molina Concha, D., Li, J., Yin, H., Park, K., Lee, H. R., Lee, T., Lee, C. G., ArXiv, 2024
  • "Algorithmic Contract Design with Reinforcement Learning Agents," Molina Concha, D., Park, K., Lee, H. R., Lee, T., Lee, C. G., ArXiv, 2024

Conference Presentations

  • "Hypernetwork-Based Concurrent Learning of Optimal Composition Design for Partially Controlled Multi-Agent Systems," Park, K., Molina Concha, D., Lee, H., Lee, C., and Lee, T., INFORMS TSL Workshop, May 19, 2025
  • "Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems," Park, K., Molina Concha, D., Lee, H., Lee, C., and Lee, T., INFORMS Annual Meeting 2024, Seattle, USA, October 22, 2024
  • "보상구조 설계를 위한 Successor Feature 기반 다중에이전트 강화학습 알고리즘," Molina Concha, D., Park, K., Lee, H., Lee, T., and Lee, C., 2022 KIIE Annual Spring Conference, Jeju, Korea, June 2, 2022
  • "Modeling the Patients’ Medical Use Behavior", Park, K. and Lee, T., 2019 KIIE Annual Spring Conference, Gwangju, Korea, April 11, 2019

Research Projects

  • 국방 지능형 군집체계 연구 및 인력양성 (Research and Education on Defense Intelligent Swarm System), ITRC, July 2024 - Present
  • 에이전트의 행동 변화 유도를 포함한 의사결정 모델링(Bi-level Dicision Models for Multi-agent System), National Research Foundation of Korea (NRF), Mar 2022 - Feb 2024
  • 행동운용과학 기반 의사결정 모델링 연구 (Decision Models in Behavioral Operations Research), National Research Foundation of Korea (NRF), Mar 2020 - Feb 2022
  • 현대모비스 A/S부품 물류거점 최적화, Hyundai Mobis, Feb 2020 - Sep 2020
  • 의료정책 효과 시뮬레이션 모형 개발 연구(2018), 국민건강보험공단, Nov 2018 - Nov 2019

Contact

kyeonghyeon.park@kaist.ac.kr