3 papers
cs.LG2024
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Vindula Jayawardana, Baptiste Freydt, Ao Qu +3
Despite the popularity of multi-agent reinforcement learning (RL) in simulated and two-player applications, its success in messy real-world applications has been limited. A key cha…
eess.SY2024
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets
Cameron Hickert, Zhongxia Yan, Cathy Wu
Autonomous driving is a highly anticipated approach toward eliminating roadway fatalities. At the same time, the bar for safety is both high and costly to verify. This work conside…
cs.RO2024
Multi-agent Path Finding for Mixed Autonomy Traffic Coordination
Han Zheng, Zhongxia Yan, Cathy Wu
In the evolving landscape of urban mobility, the prospective integration of Connected and Automated Vehicles (CAVs) with Human-Driven Vehicles (HDVs) presents a complex array of ch…