4 citations · 12 across the 8 of their papers we have counts for
5 papers · 1 filter
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Siddharth Nayak, Kenneth Choi, Wenqi Ding +3
We consider the problem of multi-agent navigation and collision avoidance when observations are limited to the local neighborhood of each agent. We propose InforMARL, a novel archi…
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…
Online Learning for Traffic Routing under Unknown Preferences
Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan +2
In transportation networks, users typically choose routes in a decentralized and self-interested manner to minimize their individual travel costs, which, in practice, often results…
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…
Routing with Privacy for Drone Package Delivery Systems
Geoffrey Ding, Alex Berke, Karthik Gopalakrishnan +3
Unmanned aerial vehicles (UAVs), or drones, are increasingly being used to deliver goods from vendors to customers. To safely conduct these operations at scale, drones are required…