A Benchmark for Low-Switching-Cost Reinforcement Learning. - Shusheng Xu; Yancheng Liang; Yunfei Li 005; Simon Shaolei Du; Yi Wu 013 (CoRR, 2021)

Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games. - Zelai Xu; Yancheng Liang; Chao Yu 005; Yu Wang 002; Yi Wu 013 (AAMAS, 2023)

DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data. - Yancheng Liang; Jiajie Zhang; Hui Li; Xiaochen Liu; Yi Hu; Yong Wu; Jinyao Zhang; Yongyan Liu; Yi Wu 013 (CoRR, 2023)

Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning. - Shusheng Xu; Yancheng Liang; Yunfei Li 005; Simon Shaolei Du; Yi Wu 013 (Trans. Mach. Learn. Res., 2023)

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. - Zhicheng Zhang; Yancheng Liang; Yi Wu 013; Fei Fang 001 (AAMAS, 2024)

Learning to Cooperate with Humans using Generative Agents. - Yancheng Liang; Daphne Chen; Abhishek Gupta 004; Simon S. Du; Natasha Jaques (NeurIPS, 2024)

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. - Kunal Jha; Wilka Carvalho; Yancheng Liang; Simon S. Du; Max Kleiman-Weiner; Natasha Jaques (CoRR, 2025)

Improving Human-AI Coordination through Adversarial Training and Generative Models. - Paresh Chaudhary; Yancheng Liang; Daphne Chen; Simon S. Du; Natasha Jaques (CoRR, 2025)

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models. - Mickel Liu; Liwei Jiang; Yancheng Liang; Simon Shaolei Du; Yejin Choi 001; Tim Althoff; Natasha Jaques (CoRR, 2025)