| Transferable traffic signal control: Reinforcement learning with graph centric state representation J Yoon, K Ahn, J Park, H Yeo Transportation Research Part C: Emerging Technologies 130, 103321, 2021 | 46 | 2021 |
| Cooperative zone-based rebalancing of idle overhead hoist transportations using multi-agent reinforcement learning with graph representation learning K Ahn, J Park IISE Transactions 53 (10), 1140-1156, 2021 | 12 | 2021 |
| Congestion-aware dynamic routing for an overhead hoist transporter system using a graph convolutional gated recurrent unit K Ahn, K Lee, J Yeon, J Park IISE Transactions 54 (8), 803-816, 2022 | 11 | 2022 |
| Idle Vehicle Rebalancing in Semiconductor Fabrication Using Factorized Graph Neural Network Reinforcement Learning K Ahn, J Park 2019 IEEE 58th Conference on Decision and Control (CDC), 132-138, 2019 | 10 | 2019 |
| End-to-End control of USV swarm using graph centric Multi-Agent Reinforcement Learning K Lee, K Ahn, J Park 2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021 | 6 | 2021 |
| HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding H Tang, F Berto, Z Ma, C Hua, K Ahn, J Park arXiv preprint arXiv:2402.15546, 2024 | 5 | 2024 |
| Learning to Schedule in Multi-Agent Pathfinding K Ahn, H Park, J Park 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 2 | 2023 |
| Parco: Learning parallel autoregressive policies for efficient multi-agent combinatorial optimization F Berto, C Hua, L Luttmann, J Son, J Park, K Ahn, C Kwon, L Xie, J Park arXiv preprint arXiv:2409.03811, 2024 | 1 | 2024 |
| NLNS-MASPF for solving Multi-Agent scheduling and Path-Finding H Park, K Ahn, J Park 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | | 2024 |
| Inductive biases for decision-making in multi-agent systems KR Ahn 한국과학기술원, 2023 | | 2023 |
| Transferable Multi-agent Traffic Signal Control considering Spatial Correlation between State Variables in Reinforcement Learning J Yoon, K Ahn, K Lee, J Park, H Yeo TRB 101st Annual Meeting, 2022 | | 2022 |
| Restricted Exploration Problem of Reinforcement Learning-based Traffic Signal Control Model and Development of Transferable Policy using Graph Neural Networks J Yoon, K Ahn, J Park, H Yeo TRB 100th Annual Meeting, 2021 | | 2021 |
| Multi-agent Reinforcement Learning with Graph Neural Networks for OHT Traffic Control S Woo, K Ahn, J Yeon 대한산업공학회 춘계공동학술대회 논문집, 4442-4483, 2019 | | 2019 |
| Exact Algorithm for the Generalized Vehicle Routing Problem: Application to multiple-UAV Operation Systems: Application to multiple-UAV Operation Systems BHY Lee, JR Morrison, K Ahn 한국경영과학회 학술대회논문집, 2135-2152, 2019 | | 2019 |
| Development and investigation of an exact algorithm for the generalized vehicle routing problem K Ahn 한국과학기술원, 2018 | | 2018 |
| Branch-and-price algorithm for persistent unmanned aerial vehicle system K Ahn, JR Morrison 한국경영과학회 학술대회논문집, 5374-5374, 2017 | | 2017 |
| LPMARL: Linear Programming based Implicit Task Assignment for Hierarchical Multi-agent Reinforcement Learning K Ahn, J Park | | |
