SC-PSRO: A Unified Strategy Learning Method for Normal-form Games. - Yudong Hu; Haoran Li 027; Congying Han; Tiande Guo; Mingqiang Li; Bonan Li (CoRR, 2023)

General Method for Solving Four Types of SAT Problems. - Anqi Li; Congying Han; Tiande Guo; Haoran Li 027; Bonan Li (CoRR, 2023)

Modeling opponent learning in multiagent repeated games. - Yudong Hu; Congying Han; Haoran Li 027; Tiande Guo (Appl. Intell., 2023)

Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error. - Haoran Li 027; Zicheng Zhang; Wang Luo; Congying Han; Yudong Hu; Tiande Guo; Shichen Liao (ICML, 2024)

Fusion of Multi-level Information: Solve Large-Scale Traveling Salesman Problem with an Efficient Framework. - Wenzhao Liu; Congying Han; Tiande Guo; Haoran Li 027; Zicheng Zhang (ICONIP (4), 2024)

SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning. - Wang Luo; Haoran Li 027; Zicheng Zhang; Congying Han; Jiayu Lv; Tiande Guo (CoRR, 2024)

Dual Alignment Maximin Optimization for Offline Model-based RL. - Chi Zhou; Wang Luo; Haoran Li 027; Congying Han; Tiande Guo; Zicheng Zhang (CoRR, 2025)

Towards Optimal Adversarial Robust Reinforcement Learning with Infinity Measurement Error. - Haoran Li 027; Zicheng Zhang; Wang Luo; Congying Han; Jiayu Lv; Tiande Guo; Yudong Hu (CoRR, 2025)

Purity Law for Generalizable Neural TSP Solvers. - Wenzhao Liu; Haoran Li 027; Congying Han; Zicheng Zhang; Anqi Li; Tiande Guo (CoRR, 2025)

The Primacy of Magnitude in Low-Rank Adaptation. - Zicheng Zhang; Haoran Li 027; Yifeng Zhang; Guoqiang Gong; Jiaxing Wang; Pengzhang Liu; Qixia Jiang; Junxing Hu (CoRR, 2025)