Robotic Sensor Networks (RSNs) find increasing use in environmental monitoring as RSNs can collect data from obscure, hard-to-reach places over long periods of time. This work rep...
Pratap Tokekar, Deepak Bhadauria, Andrew Studenski...
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
As national infrastructure becomes intertwined with emerging global data networks, the stability and integrity of the two have become synonymous. This connection, while necessary,...
Michael Bailey, Evan Cooke, Farnam Jahanian, Jose ...