| RL4CO: a unified reinforcement learning for combinatorial optimization library F Berto, C Hua, J Park, M Kim, H Kim, J Son, H Kim, J Kim, J Park NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 31* | 2023 |
| Meta-SAGE: scale meta-learning scheduled adaptation with guided exploration for mitigating scale shift on combinatorial optimization J Son*, M Kim*, H Kim, J Park ICML, 32194-32210, 2023 | 28* | 2023 |
| Ant colony sampling with gflownets for combinatorial optimization M Kim, S Choi, H Kim, J Son, J Park, Y Bengio AISTATS, 2025 | 26 | 2025 |
| Equity-Transformer: Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context J Son*, M Kim*, S Choi, J Park AAAI, 2024 | 19* | 2024 |
| 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 | 2 | 2024 |
| Neural Genetic Search in Discrete Spaces H Kim, S Choi, J Son, J Park, C Kwon arXiv preprint arXiv:2502.10433, 2025 | | 2025 |
| CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems C Hua*, F Berto*, J Son*, S Kang, C Kwon, J Park AAMAS, 2025 | | 2025 |
Jinkyoo ParkDepartment of Industrial and Systems Engineering, KAISTEmail được xác minh tại kaist.ac.kr