2 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…
stat.ML2024
Estimating the number of clusters of a Block Markov Chain
Thomas van Vuren, Thomas Cronk, Jaron Sanders
Clustering algorithms frequently require the number of clusters to be chosen in advance, but it is usually not clear how to do this. To tackle this challenge when clustering within…