activity
20182023
most citedLearning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections

20 citations · 64 across the 22 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.AI2023★ 5 cited

Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning

Michael Villarreal, Bibek Poudel, Weizi Li

The surge in Reinforcement Learning (RL) applications in Intelligent Transportation Systems (ITS) has contributed to its growth as well as highlighted key challenges. However, defi…

cs.RO2023★ 2 cited

Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning

Ke Guo, Wei Jing, Lingping Gao +3

A realistic long-term microscopic traffic simulator is necessary for understanding how microscopic changes affect traffic patterns at a larger scale. Traditional simulators that mo…

cs.LG2023

Efficient Quality-Diversity Optimization through Diverse Quality Species

Ryan Wickman, Bibek Poudel, Michael Villarreal +2

A prevalent limitation of optimizing over a single objective is that it can be misguided, becoming trapped in local optimum. This can be rectified by Quality-Diversity (QD) algorit…

cs.MA2023

Mixed Traffic Control and Coordination from Pixels

Michael Villarreal, Bibek Poudel, Jia Pan +1

Traffic congestion is a persistent problem in our society. Previous methods for traffic control have proven futile in alleviating current congestion levels leading researchers to e…

cs.LG2023★ 20 cited

Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections

Dawei Wang, Weizi Li, Lei Zhu +1

Intersections are essential road infrastructures for traffic in modern metropolises. However, they can also be the bottleneck of traffic flows as a result of traffic incidents or t…