Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. - Jiwoo Son; Minsu Kim 004; Hyeonah Kim; Jinkyoo Park (ICML, 2023)

Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context. - Jiwoo Son; Minsu Kim 004; Sanghyeok Choi; Jinkyoo Park (CoRR, 2023)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. - Federico Berto; Chuanbo Hua; Junyoung Park 002; Minsu Kim 004; Hyeonah Kim; Jiwoo Son; Haeyeon Kim; Joungho Kim; Jinkyoo Park (CoRR, 2023)

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. - Jiwoo Son; Minsu Kim 004; Sanghyeok Choi; Hyeonah Kim; Jinkyoo Park (AAAI, 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)

Ant Colony Sampling with GFlowNets for Combinatorial Optimization. - Minsu Kim 004; Sanghyeok Choi; Hyeonah Kim; Jiwoo Son; Jinkyoo Park; Yoshua Bengio (AISTATS, 2025)

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems. - Chuanbo Hua; Federico Berto; Jiwoo Son; Seunghyun Kang; Changhyun Kwon 001; Jinkyoo Park (AAMAS, 2025)

Neural Genetic Search in Discrete Spaces. - Hyeonah Kim; Sanghyeok Choi; Jiwoo Son; Jinkyoo Park; Changhyun Kwon 001 (CoRR, 2025)

Neural Combinatorial Optimization for Real-World Routing. - Jiwoo Son; Zhikai Zhao; Federico Berto; Chuanbo Hua; Changhyun Kwon 001; Jinkyoo Park (CoRR, 2025)

USPR: Learning a Unified Solver for Profiled Routing. - Chuanbo Hua; Federico Berto; Zhikai Zhao; Jiwoo Son; Changhyun Kwon 001; Jinkyoo Park (CoRR, 2025)