papers
Publications (2)
cs.MA2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villella +34
Multi-agent interaction is a fundamental aspect of autonomous driving in the real world. Despite more than a decade of research and development, the problem of how to competently i…
cs.MA2024
United We Stand: Decentralized Multi-Agent Planning With Attrition
Nhat Nguyen, Duong Nguyen, Gianluca Rizzo +1
Decentralized planning is a key element of cooperative multi-agent systems for information gathering tasks. However, despite the high frequency of agent failures in realistic large…