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From September 6th to September 9th we held our last annual retreat of the Dataninja research training group in Krefeld.
Alongside our invited speaker's talk (Dr. Alessandro Fabris from Max Planck Institute for Security and Privacy) about algorithmic fairness, each PhD candidate from the Dataninja projects presented their progress and current investigations.
In my contribution (Raphael Engelhardt, PhD candidate from TH Köln, Campus Gummersbach, supervised by Prof. Dr. Wolfgang Konen), I spoke about our recent progress on explainability for deep reinforcement learning, published as an open access journal article.

Between talks, enough time was left for valuable discussions and informal exchanges of ideas about new approaches. As usual, meeting the other candidates to talk about the small victories and challenges of our journey towards the PhD was a great pleasure. This year's fun activity required all the combined smartness of students and professors to solve the riddles in the escape rooms.
After the success of these three days, we are especially looking forward to our closing conference next year.
Group picture Dataninja Retreat 2023