From Simulation to the Real World: Deep Reinforcement Learning for Training Robust, Wave-Smoothing Policies for Autonomous Vehicles
Kathy Jang [2024]

The impact of information-aware routing on road traffic
Theophile Cabannes [2022]

The impact of information-aware routing on road traffic, from case studies to game-theoretical analysis and simulations
Theophile Cabannes [2022]

Learning and Optimization for Mixed Autonomy Systems - A Mobility Context
Cathy Wu [2018]

Alternate Representations for Scalable Analysis and Control of Heterogeneous Time Series
Francois Belletti [2017]

On learning Game-Theoretical models with Application to Urban Mobility
Jerome Thai [2017]

Continuous and Discrete Dynamics for Online Learning and Convex Optimization
Walid Krichene [2016]

Applied Estimation of Mobile Environments
Kevin Weekly [2014]

Large-Scale, Low-Latency State Estimation Of Cyber- physical Systems With An Application To Traffic Estimation
Timothy Hunter [2014]

A hybrid approach of physical laws and data-driven modeling for estimation: the example of queuing networks
Aude Hofleitner [2013]

Actuated Mobile Sensing in Distributed, Unstructured Environments
Andrew Tinka [2012]

Convex formulations of inverse modeling problems on systems modeled by Hamilton-Jacobi equations: applications to traffic flow engineering
Christian Claudel [2010]