Publication
(C: peer-reviewed conference, J: peer-reviewed journal, P: conference presentation, E: etc. )
(C: peer-reviewed conference, J: peer-reviewed journal, P: conference presentation, E: etc. )
Peer-reviewed publication
[J12] Zhao, L., & Lee, H.-R.* (2026), Analyzing strategic parental leave decisions using two-player multi-agent reinforcement learning, Systems 14(2), 217 [Link]
[J11] Park, K., David, M., Lee, H.-R., Lee, T., & Lee, C.-G., (2025), Reward design in multi-agent system using successor features and multi-information source Bayesian optimization, International Journal of Machine Learning and Cybernetics 16(9), 6249-6270 [Link]
[J10] Lee, H.-R.*, Park, S., & Lee, J., (2024), Bayesian reinforcement learning for adaptive balancing in an assembly line with human-robot collaboration, IEEE Access 12, 172256-172265 [Link]
[J9] Jang, C., Nam, Y., & Lee, H.-R.*. (2024). 몬테카를로 시뮬레이션을 활용한 실점 확률 최소화 구종 파악 (Identifying a pitch type that minimizes probability of conceding a score using Monte-Carlo simulation). Journal of the Korean Institute of Industrial Engineers 50(4), 233-239. [Link]
[J8] Lee, H.-R., & Lee, T., (2024), Reward structure design method to achieve system-level objectives in ambulance diversion problem. European Journal of Operations Research, 317(3), 1003-1014. [Link]
[C8] Sreenivasan, R., Lee, H.-R., Jeong, Y., Jang, J., Sim, D. & Lee, C.-G., (2023). A learnable similarity metric between tasks with dynamics mismatch. Planning and Reinforcement Learning workshop at International Joint Conference on Artificial Intelligence (PRL @ IJCAI 2023), Macao, S.A.R. [Link]
[J7] Hwang, I., & Lee, H.-R.* (2023). 인간-AGV 충돌 위험을 고려한 강화학습 기반의 출하대기장 내 AGV 운영 최적화 (Optimization of AGV operation in the dispatch area based on reinforcement learning considering the risk of human-AGV collision). Journal of the Korean Institute of Industrial Engineers 49(4), 344-353. [Link]
[C7] Lee, H.-R., Sreenivasan, R., Jeong, Y., Jang, J., Sim, D. & Lee, C.-G. (2022). Multi policy grounding and ensemble policy learning for transfer learning with dynamics mismatch. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), Vienna, Austria. [Link]
[J6] Shin, H., Lee, T., & Lee, H.-R.* (2022). Skyport location problem for urban air mobility system. Computers and Operational Research, 138, 105611. [Link]
[J5] Lee, H.-R., & Lee, T. (2021). Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response. European Journal of Operations Research 291 (1), 296-308. [Link]
[C6] Lee, H.-R., & Lee, T. (2019). Improved cooperative multi-agent reinforcement learning algorithm augmented by mixing demonstrations from centralized policy. Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), Montreal, Canada. [Link]
[J4] Lee, H.-R., & Lee, T. (2018). Markov decision process model for patient admission decision at an emergency department under a surge demand. Flexible Services and Manufacturing Journal 30 (1-2), 98-122. [Link]
[J3] Bae, J. W., Shin, K., Lee, H.-R., Lee, H. J., Lee, T. , Kim, J.-H., Cha, W.-C., Kim, G. W., & Moon, I.-C. (2018). Evaluation of disaster response system using agent-based model with geospatial and medical details. IEEE Transactions on Systems, Man and Cybernetics: Systems 48 (9), 1454-1469. [Link]
[C5] Lee, W., Shin, K., Lee, H.-R., Shin, H., & Lee, T. (2016). A structured approach for constructing high fidelity ED simulation. Proceedings of the 2016 Winter Simulation Conference, Washington D.C., USA. [Link]
[C4] Lee, T., Shin, K., Lee, H.-R., Lee, H. J., Sung, I., Lee, J., & Moon, I.-C. (2016). Characterizing emergency responses in localities with different social infrastructure using EMSSim. Proceedings of the 2016 Winter Simulation Conference, Washington D.C., USA. [Link]
[C3] Moon, I.-C., Bae, J. W., Lee, J., Kim, D., Lee, H.-R., Lee, T., Cha, W.-C., Kim, J.-H., & Kim, G. W. (2015). EMSSIM: Emergency medical service simulator with geographic and medical details. Proceedings of the 2015 Winter Simulation Conference, Huntington Beach, CA, USA. [Link]
[C2] Lee, H.-R., & Lee, T. (2015). Markov decision process model for patient admission decision at an emergency department in disasters. Proceedings of the International Conference on Health Care Systems Engineering, Lyon, France. [Link]
[J2] Hwang, K. , Lee, T., & Lee, H.-R. (2014). Simulation model for pandemic disease spreading by using census data. Journal of the Korean Institute of Industrial Engineers 40 (2), 163-171. [Link]
[C1] Lee, T., Lee, H.-R., & Hwang, K. (2013). Identifying superspreaders for epidemics using R0-adjusted network centrality. Proceedings of the 2013 Winter Simulation Conference, Washington D.C., USA. [Link]
[J1] Ann, H. B., & Lee, H.-R. (2013). Spiral arm morphology of nearby galaxies. Journal of the Korean Astronomical Society 46, 141-149. [Link]
Conference presentation and etc.
[P19] Zhao, L., & Lee, H.-R. (2025). 멀티 에이전트 강화학습을 통한 두 동료 사이의 육아휴직 결정 분석 (Analysis of parental leave decisions of two employees via multi-agent reinforcement learning). 2025 KIIE Annual Spring Conference, Jeju, Korea.
[P18] Kim, K.-H., Lee, M., & Lee, H.-R., (2025). 반출순서를 고려한 3차원 빈 패킹 문제 해결을 위한 강화학습 연구 (Reinforcement learning to solve the 3D-BPP considering the unloading order). 2025 KIIE Annual Spring Conference, Jeju, Korea.
[P18] Lee, H.-R., Park, S., & Lee, J. (2024). 작업자의 작업 속도를 고려하는 베이지안 강화학습 기반 사람-로봇 협업 모델 (Human-robot collaboration model for considering the work speeds of workers based on Bayesian reinforcement learning). 2024 KIIE Annual Fall Conference, Seoul, Korea.
[P17] Yoo, H. & Lee, H.-R. (2024). 재난 대응 시 UAV 도입을 고려한 강화학습 기반 환자 이송 수단 결정 최적화 (Reinforcement learning based transportation mode optimization considering the introduction of UAV in responding to disaster). 2024 KIIE Annual Spring Conference, Yeosu, Korea.
[P16] Shin, H., Lee, T., & Lee, H.-R.. (2023). Skyport location problem for urban air mobility system. 2023 INFORMS Annual Meeting, Phoenix, Arizona, USA.
[P15] I. Hwang, G. Kim, M. Oh, J. Lee, D. Ha, J. Jung, & Lee, H.-R.. (2023). 강화학습 기반의 유기물 소자 투입 공정 최적화를 통한 유기물 소자의 효율적 사용 및 비용 절감 (Efficient use of organic materials and cost savings through reinforcement learning-based optimization of organic material input process). 2024 KSEE Annual Conference, Jeju, Korea.
[P14] Lee, H.-R.. (2023). MDP 모델을 통한 근로자의 육아휴직 결정 요인 분석 (Analysis of decision factors for using parental leave through MDP model). 2023 KIIE Annual Spring Conference, Jeju, Korea.
[P13] Lee, H.-R., & Lee, T. (2022). Reward structure design for socially optimal ambulance diversion strategy. 2022 INFORMS Annual Meeting, Indianapolis, Indiana, USA.
[P12] David, M., Park, K., Lee, H.-R., Lee, T., & Lee, C.-G. (2022). 보상구조 설계를 위한 Successor Feature 기반 다중에이전트 강화학습 알고리즘 (Incentive design using successor features for multi agent reinforcement learning). 2022 KIIE Annual Spring Conference, Jeju, Korea.
[P11] Shin, H., Lee, H.-R., & Lee, T. (2019). 아크간 상호작용을 고려한 허브 위치 최적화 문제 (Hub location problem with interaction between hub-to-hub arcs). 2019 KIIE Annual Fall Conference, Seoul, Korea.
[P10] Shin, H., Lee, H.-R., Kim, T., & Lee, T. (2018). 공역의 혼잡도를 고려한 집중 출도착 시설 위치 최적화 문제 (Location problem for designated landing and take-off facilities considering airspace congestion). 2018 KIIE Annual Fall Conference, Seoul, Korea.
[P9] Lee, T., & Lee, H.-R. (2018). Patient admission decision at emergency department under mass casualty incident, 2018 INFORMS Annual Meeting, Phoenix, Arizona, USA.
[P8] Lee, H.-R., & Lee, T. (2018). Supervised learning to solve decentralized patient admission problem in mass casualty incident. 2018 INFORMS International, Taipei, Taiwan.
[P7] Lee, H.-R., Kim, T., Shin, H., & Lee, T. (2018). 저고도 무인비행장치 교통관리체계 내 집중 출도착 시설 위치 최적화 문제 (Optimization problem to find location of designated landing and taking-off areas in low altitude UAS Traffic Management system). 2018 KIIE Annual Spring Conference, Gyeongju, Korea.
[P6] Lee, H.-R., & Lee, T. (2017). 다수의 협력적인 의료기관을 고려한 다중손상사고 발생 시 환자 수용 결정 모델 설계 (Modelling patient admission problem in mass casualty incident considering multiple cooperative hospitals). 2017 KIIE Annual Fall Conference, Daejeon, Korea.
[P5] Lee, W., Shin, K., Lee, H.-R., Lee, T., & Kang, W. (2016). 사례연구 - 삼성병원 응급실 시뮬레이션 (Case study: emergency department simulation for SMC). 2016 KIIE Annual Spring Conference, Jeju, Korea.
[E1] Lee, H.-R., & Lee, T. (2014). Effectiveness of dispersed commute hours on infectious disease spread. SCS M&S Magazine 4 (3).
[P4] Lee, H.-R., & Lee, T. (2014). 재난 발생 시 의료기관에서의 자원 할당 알고리즘 설계 (Optimal resource allocation policy for emergency room under mass casualty incident). Korean Society for Industrial and Applied Mathematics(KSIAM) Annual Meeting, Jeju, Korea.
[P3] Lee, H.-R., & Lee, T. (2014). 재난 발생 시 의료기관에서의 자원 할당 알고리즘 설계 (Optimal resource allocation policy for emergency room under mass casualty incident). 2014 KIIE Annual Spring Conference, Busan, Korea.
[P2] Lee, H.-R., Hwang, K. & Lee, T. (2013). R0-adjusted network centrality를 이용한 전염병 superspreader 파악 방법 (Identifying superspreaders for epidemics using R0-adjusted network centrality). 2013 KIIE Annual Spring Conference, Yeosu, Korea.
[P1] Hwang, K., Lee, H.-R., & Lee, T. (2013). 센서스데이터를 기반으로 만든 전염병 전파 시뮬레이션 모델 (Simulation model for pandemic disease spreading by using census data). 2013 KIIE Annual Spring Conference, Yeosu, Korea.