Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationBerto, F., Hua, C., Luttmann, L., Son, J., and Park, J., AHN, K., Kwon, C., Xie, L., and Park, J. NeurIPS 2025, Accepted.Read More →
LPMARL: Linear Programming-based Task Assignment for Hierarchical Multi-agent Reinforcement LearningAHN, K., and Park, J. NeurIPS 2025 DiffCoALG workshop, Accepted.Read More →
RRNCO: Towards Real-World Routing with Neural Combinatorial OptimizationSon, J., Zhao, Z., Berto, F., Hua, C., Cao, Z., Kwon, C., and Park, J. NeurIPS 2025 DiffCoALG workshop, Accepted.Read More →
Neural Embedded Mixed-Integer Optimization for Location-Routing ProblemsKaleem, W., Lee, D., Kwon, C., and Subramanyam, A. NeurIPS 2025 DiffCoALG workshop, Accepted.Read More →
RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization LibraryBerto, F., Hua, C., Son, J., Kwon, C., and Park, J. KDD 2025Read More →
Neural Genetic Search in Discrete SpacesKim, H., Choi, S., Son, J., Park, J., and Kwon, C. ICML 2025Read More →
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsHua, C., Berto, F., Son, J., Kang, S., Kwon, C., and Park, J. AAMAS 2025Read More →
Ant Colony Sampling with GFlowNets for Combinatorial OptimizationKim, M., Choi, S., Kim, H., Son, J., Park, J., and Bengio, Y. AISTATS 2025Read More →
Generative Flows on Synthetic Pathway for Drug DesignSeo, S., Kim, M., Shen, T., Ester, M., Park, J., Ahn, S., and Kim, W. ICLR 2025Read More →
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing ProblemsSobhanan, A., J, Park, J., Park, J., and Kwon, C. Transportation Science, 2025Read More →
RouteFinder: Towards Foundation Models for Vehicle Routing ProblemsBerto, F., Hua, C., Zepeda, N., Hottung, A., Wonda, N., Lan, L., Park, J., Tierney, K., and Park, J. TMLR 2025Read More →
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent PathfindingTang, H., Berto, F., Hua, C., AHN, K., and Park, J. AAMAS 2024Read More →
Equity-Transformer: Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity ContextSon, J., Kim, M., Choi, S., Kim, H., and Park, J. AAAI 2024Read More →
A Neural Separation Algorithm for the Rounded Capacity InequalitiesKim, H., Park, J. and Kwon, C. 2024. INFORMS Journal on ComputingRead More →