1 citations · 3 across the 5 of their papers we have counts for
6 papers
Weighted Age of Information based Scheduling for Large Population Games on Networks
Shubham Aggarwal, Muhammad Aneeq uz Zaman, Melih Bastopcu +1
In this paper, we consider a discrete-time multi-agent system involving cost-coupled networked rational agents solving a consensus problem and a central Base Station (BS), sche…
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path
Muhammad Aneeq uz Zaman, Alec Koppel, Sujay Bhatt +1
We consider online reinforcement learning in Mean-Field Games (MFGs). Unlike traditional approaches, we alleviate the need for a mean-field oracle by developing an algorithm that a…
Adversarial Linear-Quadratic Mean-Field Games over Multigraphs
Muhammad Aneeq uz Zaman, Sujay Bhatt, Tamer Başar
In this paper, we propose a game between an exogenous adversary and a network of agents connected via a multigraph. The multigraph is composed of (1) a global graph structure, capt…
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games
Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling +1
In this paper, we study large population multi-agent reinforcement learning (RL) in the context of discrete-time linear-quadratic mean-field games (LQ-MFGs). Our setting differs fr…
Multi-agent Planning for thermalling gliders using multi level graph-search
Muhammad Aneeq uz Zaman, Aamer Iqbal Bhatti
This paper solves a path planning problem for a group of gliders. The gliders are tasked with visiting a set of interest points. The gliders have limited range but are able to incr…
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games
Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling +1
While the topic of mean-field games (MFGs) has a relatively long history, heretofore there has been limited work concerning algorithms for the computation of equilibrium control po…