I am a research scientist and PhD student in the field of machine learning and data mining at the Karlsruhe Institute of Technology. I focus on automating sequential decisions, specifically in complex environments and leveraging reinforcement learning.
Please don’t hesitate to reach out if you’re interested in discussing research, exchanging on collaboration opportunities, or simply connecting.
Find out about our recent publications, latest findings, and research highlights.
I will be presenting our paper “Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access” as a poster at the European Workshop on Reinforcement Learning (EWRL) 2026 in Lille, France. The paper was published as conference paper at ICML 2026.
Our paper “Reinformed Dreamer: An Asymmetric World Model Efficiently Trained through Latent Guidance” has been accepted at the “Finding the Frame” workshop, held as part of the Reinforcement Learning Conference (RLC) 2026 in Montréal. Congratulations to Gaspard Lambrechts, who was the main driver behind this project, and to our other co-authors Adrien Bolland and Damien Ernst.
Our paper “Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access” has been accepted at the International Conference on Machine Learning (ICML) 2026 in Seoul. Congratulations to all my co-authors Damien Ernst, Klemens Böhm, and Gaspard Lambrechts.
An updated version of our preprint on the Informed Asymmetric Actor-Critic framework and the informativeness of privileged signals is now available on arXiv.
A preprint of our latest work on the Informed Asymmetric Actor-Critic framework and the informativeness of privileged signals is now available on arXiv.
Check out the full texts of our latest work.