Idle Vehicle Rebalancing in Semiconductor Fabrication Using Factorized Graph Neural Network Reinforcement Learning. - Kyuree Ahn; Jinkyoo Park (CDC, 2019)

Cooperative zone-based rebalancing of idle overhead hoist transportations using multi-agent reinforcement learning with graph representation learning. - Kyuree Ahn; Jinkyoo Park (IISE Trans., 2021)

Learning to Schedule in Multi-Agent Pathfinding. - Kyuree Ahn; Heemang Park; Jinkyoo Park (IROS, 2023)

HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding. - Huijie Tang; Federico Berto; Zihan Ma 003; Chuanbo Hua; Kyuree Ahn; Jinkyoo Park (AAMAS, 2024)

NLNS-MASPF for solving Multi-Agent scheduling and Path-Finding. - Heemang Park; Kyuree Ahn; Jinkyoo Park (IROS, 2024)

PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization. - Federico Berto; Chuanbo Hua; Laurin Luttmann; Jiwoo Son; Junyoung Park 002; Kyuree Ahn; Changhyun Kwon 001; Lin Xie; Jinkyoo Park (CoRR, 2024)

Decentralized and Communication-Based Multi-Agent Traffic Signal Control Model Employing a Graph Representation for the State. - Jinwon Yoon; Kyuree Ahn; Kanghoon Lee; Jinkyoo Park; Hwasoo Yeo (IEEE Trans. Intell. Transp. Syst., 2025)