332 citations · 376 across the 32 of their papers we have counts for
5 papers · 1 filter
Leveraging Untrustworthy Commands for Multi-Robot Coordination in Unpredictable Environments: A Bandit Submodular Maximization Approach
Zirui Xu, Xiaofeng Lin, Vasileios Tzoumas
We study the problem of multi-agent coordination in unpredictable and partially-observable environments with untrustworthy external commands. The commands are actions suggested to…
Safe Non-Stochastic Control of Control-Affine Systems: An Online Convex Optimization Approach
Hongyu Zhou, Yichen Song, Vasileios Tzoumas
We study how to safely control nonlinear control-affine systems that are corrupted with bounded non-stochastic noise, i.e., noise that is unknown a priori and that is not necessari…
Safe Non-Stochastic Control of Linear Dynamical Systems
Hongyu Zhou, Vasileios Tzoumas
We study the problem of \textit{safe control of linear dynamical systems corrupted with non-stochastic noise}, and provide an algorithm that guarantees (i) zero constraint violatio…
Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments
Zirui Xu, Xiaofeng Lin, Vasileios Tzoumas
We study the problem of multi-agent coordination in unpredictable and partially observable environments, that is, environments whose future evolution is unknown a priori and that c…
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control
Hongyu Zhou, Zirui Xu, Vasileios Tzoumas
Projection operations are a typical computation bottleneck in online learning. In this paper, we enable projection-free online learning within the framework of Online Convex Optimi…