Last week I travelled to Brisbane, Australia to attend two workshops, and to present our work on Clustering in Block Markov Chains at a conference called INFORMS-APS 2019. While the fourty-eight hours of travel were excruciatingly tiring (and don't get me started on the jetlag), attending these events was definitely worth it from an academic point of view.
On March 29th, 2019, Pascal Lagerweij defended his MSc thesis Reinforcement Learning in Block Markov Chains. His committee consisted of prof.dr.ir Piet Van Mieghem, dr. Matthijs Spaan, and myself (as daily supervisor). Pascal joined our research group Network Architectures and Services on May 22nd, 2018.
After presenting my poster at Stochastic Networks 2018 on our manuscript Optimal Clustering Algorithms in Block Markov Chains, I received invitations to present at the machine learning seminars of the Centrum Wiskunde & Informatica (CWI) in Amsterdam, as well as locally here at TU Delft. This post also provides you with our revised manuscript, which contains substantially extended results, as well asmy presentation.