2 citations · 4 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
Learning Discrete-Time Major-Minor Mean Field Games
Kai Cui, Gökçe Dayanıklı, Mathieu Laurière +3
Recent techniques based on Mean Field Games (MFGs) allow the scalable analysis of multi-player games with many similar, rational agents. However, standard MFGs remain limited to ho…
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…
Learning to Cooperate and Communicate Over Imperfect Channels
Jannis Weil, Gizem Ekinci, Heinz Koeppl +1
Information exchange in multi-agent systems improves the cooperation among agents, especially in partially observable settings. In the real world, communication is often carried ou…
A Survey of Confidence Estimation and Calibration in Large Language Models
Jiahui Geng, Fengyu Cai, Yuxia Wang +3
Large language models (LLMs) have demonstrated remarkable capabilities across a wide range of tasks in various domains. Despite their impressive performance, they can be unreliable…
Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms
Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh +3
Swarms of aerial drones have recently been considered for last-mile deliveries in urban logistics or automated construction. At the same time, collaborative transportation of paylo…