Scalable Multiagent Driving Policies for Reducing Traffic Congestion. - Jiaxun Cui; William Macke; Harel Yedidsion; Aastha Goyal; Daniel Urieli; Peter Stone 001 (AAMAS, 2021)

Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction. - Yulin Zhang; William Macke; Jiaxun Cui; Daniel Urieli; Peter Stone 001 (CoRR, 2021)

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. - Jiaxun Cui; Hang Qiu 001; Dian Chen 005; Peter Stone 001; Yuke Zhu (CVPR, 2022)

MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection. - Jiaxun Cui; Xiaomeng Yang; Mulong Luo; Geunbae Lee; Peter Stone 001; Hsien-Hsin S. Lee; Benjamin Lee; G. Edward Suh; Wenjie Xiong 001; Yuandong Tian (ICLR, 2023)

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. - Arrasy Rahman; Jiaxun Cui; Peter Stone 001 (CoRR, 2023)

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. - Muhammad Rahman 008; Jiaxun Cui; Peter Stone 001 (AAAI, 2024)

Communication and Generalization in Multi-Agent Learning. - Jiaxun Cui (AAMAS, 2024)

Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play. - Jiaxun Cui; Chen Tang 001; Jarrett Holtz; Janice Nguyen; Alessandro Gabriele Allievi; Hang Qiu 001; Peter Stone 001 (CoRR, 2025)

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork. - Caroline Wang; Arrasy Rahman; Jiaxun Cui; Yoonchang Sung; Peter Stone 001 (CoRR, 2025)

A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon. - Cameron Angliss; Jiaxun Cui; Jiaheng Hu; Arrasy Rahman; Peter Stone 001 (CoRR, 2025)