3 citations · 4 across the 4 of their papers we have counts for
4 papers
Learning to Seek: Multi-Agent Online Source Seeking Against Non-Stochastic Disturbances
Bin Du, Kun Qian, Christian Claudel +1
This paper proposes to leverage the emerging~learning techniques and devise a multi-agent online source {seeking} algorithm under unknown environment. Of particular significance in…
Hypothesis Testing of One-Sample Mean Vector in Distributed Frameworks
Bin Du, Junlong Zhao
Distributed frameworks are widely used to handle massive data, where sample size is very large, and data are often stored in different machines. For a random vector $X\in \…
Multi-Robot Dynamical Source Seeking in Unknown Environments
Bin Du, Kun Qian, Christian Claudel +1
This paper presents an algorithmic framework for the distributed on-line source seeking, termed as 'DoSS', with a multi-robot system in an unknown dynamical environment. Our algori…
Jacobi-Style Iteration for Distributed Submodular Maximization
Bin Du, Kun Qian, Christian Claudel +1
This paper presents a novel Jacobi-style iteration algorithm for solving the problem of distributed submodular maximization, in which each agent determines its own strategy from a…