8 citations · 8 across the 7 of their papers we have counts for
9 papers
Collaborative Optimization of the Age of Information under Partial Observability
Anam Tahir, Kai Cui, Bastian Alt +2
The significance of the freshness of sensor and control data at the receiver side, often referred to as Age of Information (AoI), is fundamentally constrained by contention for lim…
Sparse Mean Field Load Balancing in Large Localized Queueing Systems
Anam Tahir, Kai Cui, Heinz Koeppl
Scalable load balancing algorithms are of great interest in cloud networks and data centers, necessitating the use of tractable techniques to compute optimal load balancing policie…
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Kai Cui, Anam Tahir, Gizem Ekinci +4
The analysis and control of large-population systems is of great interest to diverse areas of research and engineering, ranging from epidemiology over robotic swarms to economics a…
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control
Kai Cui, Mustafa Burak Yilmaz, Anam Tahir +2
The optimal offloading of tasks in heterogeneous edge-computing scenarios is of great practical interest, both in the selfish and fully cooperative setting. In practice, such syste…
Decentralized Coordination in Partially Observable Queueing Networks
Jiekai Jia, Anam Tahir, Heinz Koeppl
We consider communication in a fully cooperative multi-agent system, where the agents have partial observation of the environment and must act jointly to maximize the overall rewar…
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems
Anam Tahir, Kai Cui, Heinz Koeppl
Recent years have seen a great increase in the capacity and parallel processing power of data centers and cloud services. To fully utilize the said distributed systems, optimal loa…
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms
Sharif Azem, Anam Tahir, Heinz Koeppl
A swarm of quadcopters can perform cooperative tasks, such as monitoring of a large area, more efficiently than a single one. However, to be able to successfully work together, the…
Load Balancing in Compute Clusters with Delayed Feedback
Anam Tahir, Bastian Alt, Amr Rizk +1
Load balancing arises as a fundamental problem, underlying the dimensioning and operation of many computing and communication systems, such as job routing in data center clusters,…
Discrete-Time Mean Field Control with Environment States
Kai Cui, Anam Tahir, Mark Sinzger +1
Multi-agent reinforcement learning methods have shown remarkable potential in solving complex multi-agent problems but mostly lack theoretical guarantees. Recently, mean field cont…