3 papers
cs.LG2025
Asymptotically optimal reinforcement learning in Block Markov Decision Processes
Thomas van Vuren, Fiona Sloothaak, Maarten G. Wolf +1
The curse of dimensionality renders Reinforcement Learning (RL) impractical in many real-world settings with exponentially large state and action spaces. Yet, many environments exh…
cs.LG2025
Demonstration of effective UCB-based routing in skill-based queues on real-world data
Sanne van Kempen, Jaron Sanders, Fiona Sloothaak +1
This paper is about optimally controlling skill-based queueing systems such as data centers, cloud computing networks, and service systems. By means of a case study using a real-wo…
cs.LG2024
Learning payoffs while routing in skill-based queues
Sanne van Kempen, Jaron Sanders, Fiona Sloothaak +1
Motivated by applications in service systems, we consider queueing systems where each customer must be handled by a server with the right skill set. We focus on optimizing the rout…