2 citations · 3 across the 3 of their papers we have counts for
3 papers
Multiple Approximate-Response Agents (MARA): Fast Near-Optimal Primal Recovery for Distributed Optimization
Tetiana Parshakova, Yicheng Bai, Garrett van Ryzin +1
Dual methods are useful for distributed optimization because they allow agent-level subproblems to be solved in parallel. However, achieving primal feasibility with dual methods is…
Online Allocation of Throughput-Constrained Resources Using Proxy Assignments
Chamsi Hssaine, Huseyin Topaloglu, Garrett van Ryzin
We study a variation of the canonical online resource allocation problem in which resources are throughput, rather than budget, constrained. As in the classical setting, the decisi…
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft
Xabi Azagirre, Akshay Balwally, Guillaume Candeli +16
To better match drivers to riders in our ridesharing application, we revised Lyft's core matching algorithm. We use a novel online reinforcement learning approach that estimates th…