activity
20202022
most citedBlackwell Online Learning for Markov Decision Processes

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2022

Markovian Decentralized Ensemble Control for Demand Response

Guanze Peng, Robert Mieth, Deepjyoti Deka +1

With the advancement in smart grid and smart energy devices, demand response becomes one of the most economic and feasible solutions to ease the load stress of the power grids duri…

cs.MA2021

The Confluence of Networks, Games and Learning

Tao Li, Guanze Peng, Quanyan Zhu +1

Recent years have witnessed significant advances in technologies and services in modern network applications, including smart grid management, wireless communication, cybersecurity…

cs.LG2020★ 2 cited

Blackwell Online Learning for Markov Decision Processes

Tao Li, Guanze Peng, Quanyan Zhu

This work provides a novel interpretation of Markov Decision Processes (MDP) from the online optimization viewpoint. In such an online optimization context, the policy of the MDP i…

eess.SY2020

Locally-Aware Constrained Games on Networks

Guanze Peng, Tao Li, Shutian Liu +2

Network games have been instrumental in understanding strategic behaviors over networks for applications such as critical infrastructure networks, social networks, and cyber-physic…

eess.SY2020

On Optimal Control of Discounted Cost Infinite-Horizon Markov Decision Processes Under Local State Information Structures

Guanze Peng, Veeraruna Kavitha, Qunayan Zhu

This paper investigates a class of optimal control problems associated with Markov processes with local state information. The decision-maker has only local access to a subset of a…

eess.SY2020★ 1 cited

Distributed Stabilization of Two Interdependent Markov Jump Linear Systems with Partial Information

Guanze Peng, Juntao Chen, Quanyan Zhu

In this paper, we study the stabilization of two interdependent Markov jump linear systems (MJLSs) with partial information, where the interdependency arises as the transition of t…