410 citations · 2.1k across the 125 of their papers we have counts for
4 papers · 1 filter
Scalable Reinforcement Learning Policies for Multi-Agent Control
Christopher D. Hsu, Heejin Jeong, George J. Pappas +1
We develop a Multi-Agent Reinforcement Learning (MARL) method to learn scalable control policies for target tracking. Our method can handle an arbitrary number of pursuers and targ…
Joint Estimation and Localization in Sensor Networks
Nikolay A. Atanasov, Roberto Tron, Victor M. Preciado +1
This paper addresses the problem of collaborative tracking of dynamic targets in wireless sensor networks. A novel distributed linear estimator, which is a version of a distributed…
Distributed Algorithms for Stochastic Source Seeking with Mobile Robot Networks: Technical Report
Nikolay A. Atanasov, Jerome Le Ny, George J. Pappas
Autonomous robot networks are an effective tool for monitoring large-scale environmental fields. This paper proposes distributed control strategies for localizing the source of a n…
Distributed Control of the Laplacian Spectral Moments of a Network
Victor M. Preciado, Michael M. Zavlanos, Ali Jadbabaie +1
It is well-known that the eigenvalue spectrum of the Laplacian matrix of a network contains valuable information about the network structure and the behavior of many dynamical proc…