| Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response HR Lee, T Lee European Journal of Operational Research 291 (1), 296-308, 2021 | 54 | 2021 |
| Evaluation of disaster response system using agent-based model with geospatial and medical details JW Bae, K Shin, HR Lee, HJ Lee, T Lee, CH Kim, WC Cha, GW Kim, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (9), 1454-1469, 2017 | 28 | 2017 |
| Skyport location problem for urban air mobility system H Shin, T Lee, HR Lee Computers & Operations Research 138, 105611, 2022 | 27 | 2022 |
| Improved cooperative multi-agent reinforcement learning algorithm augmented by mixing demonstrations from centralized policy HR Lee, T Lee Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 26 | 2019 |
| Markov decision process model for patient admission decision at an emergency department under a surge demand HR Lee, T Lee Flexible Services and Manufacturing Journal 30, 98-122, 2018 | 22 | 2018 |
| Spiral Arm Morphology of Nearby Galaxies HB Ann, HR Lee Journal of The Korean Astronomical Society 46 (3), 141-149, 2013 | 18 | 2013 |
| EMSSIM: emergency medical service simulator with geographic and medical details IC Moon, JW Bae, J Lee, D Kim, H Lee, T Lee, WC Cha, JH Kim, GW Kim 2015 Winter Simulation Conference (WSC), 1272-1284, 2015 | 13 | 2015 |
| Identifying superspreaders for epidemics using R0-adjusted network centrality T Lee, HR Lee, K Hwang 2013 Winter Simulations Conference (WSC), 2239-2249, 2013 | 13 | 2013 |
| Epidemic Disease Spreading Simulation Model Based on Census Data K Hwang, T Lee, H Lee Journal of Korean Institute of Industrial Engineers 40 (2), 163-171, 2014 | 4 | 2014 |
| Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. HR Lee, RA Sreenivasan, Y Jeong, J Jang, D Shim, CG Lee IJCAI, 3171-3177, 2022 | 3 | 2022 |
| A learnable similarity metric for transfer learning with dynamics mismatch RA Sreenivasan, HR Lee, Y Jeong, J Jang, D Shim, CG Lee PRL Workshop Series {\textendash} Bridging the Gap Between AI Planning and …, 2023 | 2 | 2023 |
| Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration DM Concha, J Li, H Yin, K Park, HR Lee, T Lee, D Sirohi, CG Lee arXiv preprint arXiv:2408.11751, 2024 | 1 | 2024 |
| Algorithmic Contract Design with Reinforcement Learning Agents DM Concha, K Park, HR Lee, T Lee, CG Lee arXiv preprint arXiv:2408.09686, 2024 | 1 | 2024 |
| A structured approach for constructing high fidelity ED simulation W Lee, K Shin, HR Lee, H Shin, T Lee 2016 Winter Simulation Conference (WSC), 1950-1960, 2016 | 1 | 2016 |
| Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems K Park, DM Concha, HR Lee, CG Lee, T Lee arXiv preprint arXiv:2502.12605, 2025 | | 2025 |
| Bayesian reinforcement learning for adaptive balancing in an assembly line with human-robot collaboration HR Lee, S Park, J Lee IEEE Access, 2024 | | 2024 |
| Reward function design method to achieve system-level objectives in ambulance diversion problem HR Lee, T Lee European Journal of Operational Research 317 (3), 1003-1014, 2024 | | 2024 |
| 몬테카를로 시뮬레이션을 활용한 실점 확률 최소화 구종 파악 장찬우， 남윤호， 이현록 대한산업공학회지 50 (4), 233-239, 2024 | | 2024 |
| 인간-AGV 충돌 위험을 고려한 강화학습 기반의 출하대기장 내 AGV 운영 최적화 황인근， 이현록 대한산업공학회지 49 (4), 344-353, 2023 | | 2023 |
| Algorithm and application of imitation learning and reinforcement learning for sequential decision making problems with multiple agents HR Lee 한국과학기술원, 2020 | | 2020 |
