3 accepted papers
We consider the problem of adaptively controlling a fleet of robots to maintain a communication network in an adversarial environment. In particular, a network team of robots is tasked with maintaining a directed communication channel at some data rate from an independent task robot to a fixed base …
In this paper, we focus on the autonomous multiagent taxi routing problem for a large urban environment where the location and number of future ride requests are unknown a-priori, but can be estimated by an empirical distribution. Recent theory has shown that a rollout algorithm with a stable base p…
We derive a learning framework to generate routing/pickup policies for a fleet of autonomous vehicles tasked with servicing stochastically appearing requests on a city map. We focus on policies that 1) give rise to coordination amongst the vehicles, thereby reducing wait times for servicing requests…