publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. Learning to Cooperate with Humans using Generative Agents
    Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Shaolei Du*, and Natasha Jaques*
    2024
  2. AAMAS 2024
    MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
    Zhicheng Zhang, Yancheng Liang, Yi Wu, and Fei Fang
    arXiv preprint arXiv:2405.00902, 2024

2023

  1. IJCAI 2023 Workshop
    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, and Yi Wu
    arXiv preprint arXiv:2308.03704, 2023
  2. TMLR 2023
    Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning
    Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, and Yi Wu
    Transactions on Machine Learning Research, 2023
  3. AAMAS 2023
    Fictitious cross-play: Learning global nash equilibrium in mixed cooperative-competitive games
    Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, and Yi Wu
    arXiv preprint arXiv:2310.03354, 2023