activity
20192022
most citedPlanning and Operations of Mixed Fleets in Mobility-on-Demand Systems

8 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SY2022

Differentially Private Stochastic Convex Optimization for Network Routing Applications

Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang +1

Network routing problems are common across many engineering applications. Computing optimal routing policies requires knowledge about network demand, i.e., the origin and destinati…

cs.CR2022

Private Location Sharing for Decentralized Routing services

Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan +1

Data-driven methodologies offer many exciting upsides, but they also introduce new challenges, particularly in the realm of user privacy. Specifically, the way data is collected ca…

cs.DS2020

Online Hypergraph Matching with Delays

Marco Pavone, Amin Saberi, Maximilian Schiffer +1

We study an online hypergraph matching problem with delays, motivated by ridesharing applications. In this model, users enter a marketplace sequentially, and are willing to wait up…

eess.SY20208 cited

Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems

Kaidi Yang, Matthew W. Tsao, Xin Xu +1

Automated vehicles (AVs) are expected to be beneficial for Mobility-on-Demand (MoD), thanks to their ability of being globally coordinated. To facilitate the steady transition towa…

cs.DS2019

Sample Complexity of Probabilistic Roadmaps via -nets

Matthew Tsao, Kiril Solovey, Marco Pavone

We study fundamental theoretical aspects of probabilistic roadmaps (PRM) in the finite time (non-asymptotic) regime. In particular, we investigate how completeness and optimality g…

cs.AI2019

Robust and Adaptive Planning under Model Uncertainty

Apoorva Sharma, James Harrison, Matthew Tsao +1

Planning under model uncertainty is a fundamental problem across many applications of decision making and learning. In this paper, we propose the Robust Adaptive Monte Carlo Planni…