activity
20172022
most citedFinite-Sample Analysis of Decentralized Q-Learning for Stochastic Games

4 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

math.OC2022

Quantification of Market Power Mitigation via Efficient Aggregation of Distributed Energy Resources

Zuguang Gao, Khaled Alshehri, John R. Birge

Distributed energy resources (DERs) such as solar panels have small supply capacities and cannot be directly integrated into wholesale markets. So, the presence of an intermediary…

cs.GT2021★ 4 cited

Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games

Zuguang Gao, Qianqian Ma, Tamer Başar +1

Learning in stochastic games is arguably the most standard and fundamental setting in multi-agent reinforcement learning (MARL). In this paper, we consider decentralized MARL in st…

cs.DS2021★ 1 cited

Approximation Schemes for Multiperiod Binary Knapsack Problems

Zuguang Gao, John R. Birge, Varun Gupta

An instance of the multiperiod binary knapsack problem (MPBKP) is given by a horizon length , a non-decreasing vector of knapsack sizes where denotes…

math.OC2021

On Efficient Aggregation of Distributed Energy Resources

Zuguang Gao, Khaled Alshehri, John R. Birge

The rapid expansion of distributed energy resources (DERs) is one of the most significant changes to electricity systems around the world. Examples of DERs include solar panels, sm…

eess.SY2019

Categorization Problem on Controllability of Boolean Control Networks

Qunxi Zhu, Zuguang Gao, Yang Liu +1

A Boolean control network (BCN) is a discrete-time dynamical system whose variables take values from a binary set . At each time step, each variable of the BCN updates its…

math.DS2017

Asymptotic Behavior of Conjunctive Boolean Networks Over Weakly Connected Digraphs

Xudong Chen, Zuguang Gao, Tamer Başar

A conjunctive Boolean network (CBN) is a finite state dynamical system, whose variables take values from a binary set, and the value update rule for each variable is a Boolean func…