Publications

2026

  1. robust_vdn.png
    Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization
    Chengrui Qu, Kishan Panaganti, Christopher Yeh, and Adam Wierman
    ICLR, 2026
  2. mpe_play.gif
    Training Generalizable Collaborative Agents via Strategic Risk Aversion
    Chengrui Qu, Yizhou Zhang, Nicolas Lanzetti, and Eric Mazumdar
    In submission to ICML, 2026
  3. diversity.png
    Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
    Yingxuan Yang, Chengrui Qu, Muning Wen, Laixi Shi, Ying Wen, Weinan Zhang, Adam Wierman, and Shangding Gu
    In submission to ICML, 2026
    arXiv

2025

  1. droev.png
    Distributionally Robust Aggregation of Electric Vehicle Flexibility
    Karan Mukhi, Chengrui Qu, Pengcheng You, and Alessandro Abate
    ACM HSCC, 2025
    arXiv
  2. settings.png
    Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency From Shifted-dynamics Data
    Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, and Adam Wierman
    AISTATS (oral, top 2%), 2025
    arXiv
  3. dd_dro.png
    Decision-Dependent Distributionally Robust Optimization with Application to Dynamic Pricing
    Chengrui Qu, Huiwen Jia, and Pengcheng You
    IEEE CDC, 2025
    arXiv
  4. spidr.gif
    SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
    Yarden As, Chengrui Qu, Benjamin Unger, Dongho Kang, Max Hart, Laixi Shi, Stelian Coros, Adam Wierman, and Andreas Krause
    NeurIPS, 2025
    arXiv