Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Abstract-- This paper presents a framework for generating time-optimal velocity profiles for a group of pathconstrained vehicle robots that have fixed and known initial and goal lo...
—Popular Internet services are hosted by multiple geographically distributed datacenters. The location of the datacenters has a direct impact on the services’ response times, c...
— Networks employ link protection to achieve fast recovery from link failures. While the first link failure can be protected using link protection, there are several alternative...
We study algorithmic problems that are motivated by bandwidth trading in next generation networks. Typically, bandwidth trading involves sellers (e.g., network operators) interest...
Randeep Bhatia, Julia Chuzhoy, Ari Freund, Joseph ...