Reinforcement Learning-Based Oscillation Dampening: Scaling Up Single-Agent Reinforcement Learning Algorithms to a 100-Autonomous-Vehicle Highway Field Operational Test

Jan 1, 2025·
Kathy Jang
,
Nathan Lichtle
,
Eugene Vinitsky
,
Adit Shah
Matt Bunting
Matt Bunting
,
Matthew Nice
,
Benedetto Piccoli
,
Benjamin Seibold
Dan Work
Dan Work
,
Maria Laura Delle Monache
Jonathan Sprinkle
Jonathan Sprinkle
,
Jonathan W. Lee
,
Alexandre M. Bayen
· 0 min read
DOI
Type
Publication
IEEE Control Systems
publications
Authors
Authors
Matt Bunting
Authors
Research Scientist
Dr. Matthew Bunting is a Research Scientist at the Institute for Software Integrated Systems at Vanderbilt University. He joined Vanderbilt in 2022 having previously been a postdoctoral scholar at the University of Arizona from 2020-2022. His research is in embedded control software and visualization for cyber-physical systems.
Authors
Former PhD Student
Dan Work
Authors
Professor
Dan Work is a Chancellor Faculty Fellow and professor in civil and environmental engineering, computer science, and the Institute for Software Integrated Systems at Vanderbilt University.
Jonathan Sprinkle
Authors
Professor and Chair of Computer Science
Professor of Computer Science at Vanderbilt University. Research in cyber-physical systems, autonomous vehicles, and domain-specific modeling.