55 citations · 197 across the 32 of their papers we have counts for
3 papers · 1 filter
Consensus-based Distributed Optimization Enhanced by Integral Feedback
Xuan Wang, Shaoshuai Mou, Brian. D. O. Anderson
Inspired and underpinned by the idea of integral feedback, a distributed constant gain algorithm is proposed for multi-agent networks to solve convex optimization problems with loc…
Safe Pontryagin Differentiable Programming
Wanxin Jin, Shaoshuai Mou, George J. Pappas
We propose a Safe Pontryagin Differentiable Programming (Safe PDP) methodology, which establishes a theoretical and algorithmic framework to solve a broad class of safety-critical…
Towards Resilience for Multi-Agent -Learning
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
This paper considers the multi-agent reinforcement learning (MARL) problem for a networked (peer-to-peer) system in the presence of Byzantine agents. We build on an existing distri…