This paper studies decentralized online convex optimization in a networked multi-agent
system and proposes a novel algorithm, Learning-Augmented Decentralized Online …

This paper presents a closed-form notion of controllability and observability for systems with
communication delays, actuation delays, and locality constraints. The formulation reduces to …

With the growth of online video streaming, users nowadays stream videos from a highly
diverse set of devices, including laptops, mobile devices, smart TVs, set-top boxes, game …

We study dynamic decision-making problems in networks and markets under uncertainty
about future payoffs. This problem is difficult in general since 1) Although the current …

A decentralized scheme with a networked multi-agent system is a representative information
structure in multi-agent reinforcement learning. In this structure, multiple agents perform …

In the context of a multi-agent network, we investigate the distributed online composite
optimization problem where the optimization objective of each local agent is a combination …