Distributed Online Optimization, Learning and Game
In this thread of works, we examine analysis and design for online optimization, learning and game on a network of agents in a distributed manner.
Related Papers
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Linli Zhang, Dewei Li, Shuai Jia, Haibin Shao.
Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments.
IEEE Transactions on Neural Networks and Learning Systems, 33(5):2168-2180, 2022. PDF -
Xiaoxing Ren, Dewei Li, Yugeng Xi, and Haibin Shao.
An accelerated distributed gradient method with local memory.
Automatica, 146:110260, 2022. PDF -
Xiaoxing Ren, Dewei Li, Yugeng Xi, and Haibin Shao.
Distributed global optimization for a class of nonconvex optimization with coupled constraints.
IEEE Transactions on Automatic Control, 67(8):4322-4329, 2021. PDF -
Xiaoxing Ren, Dewei Li, Yugeng Xi, and Haibin Shao.
Distributed multi-agent optimisation via coordination with second-order nearest neighbours.
IET Control Theory & Applications, 14(13):1733–1743, 2020. PDF -
Xiaoxing Ren, Dewei Li, Yugeng Xi, and Haibin Shao.
Distributed subgradient algorithm for multi-agent optimization with dynamic stepsize.
IEEE/CAA Journal of Automatica Sinica, 8(8):1451-1464, 2021. PDF