news

Oct 1, 2026 Our paper Beyond Success Rates: Trainability and Extractability for Offline GCRL has been accepted to the NeurIPS 2026 Evaluations and Datasets Track.
Aug 13, 2026 Our paper Is Manipulation Hard for Successor Measures? will be presented at the RLBrew Workshop in Montreal. My collaborators will present the poster.
Jul 20, 2026 Our framework Mighty has been accepted to the Journal of Open Source Software (JOSS).
Jul 5, 2026 Our paper on RL-based dispatch for decentralized energy systems has been accepted to Energy Conversion and Management: X.
May 1, 2026 I am visiting MIDI Lab, working with Prof. Amy Zhang on Behavior Foundation Models. Happy to connect if you are around.
Feb 15, 2026 Concluded my research internship at Amazon Web Services, working on offline RL.
Jul 24, 2025 Presenting our open-source RL library Mighty at EWRL 2025 in Tübingen.
Feb 28, 2025 Presenting an abstract at RLDM 2025 in Dublin on using distributional RL for stable policy optimization.
Feb 25, 2025 I will be visiting Georg Martius at Tübingen AI Center to work on representation learning for RL.
Dec 15, 2024 Our work was featured in the Binaire Magazine.
Sep 30, 2024 Two papers accepted to EWRL 2024 in Toulouse:
Sep 15, 2024 Our paper “Structure in Deep Reinforcement Learning: A Survey and Open Problems” received the L3S Best Publication Award.
Sep 1, 2024 Check out the new song on Hyperparameter Optimization by Theresa Eimer and me.
Apr 3, 2024 Our paper Structure in Deep Reinforcement Learning: A Survey and Open Problems with Amy Zhang and Marius Lindauer has been published in JAIR.
Mar 21, 2024 Our poster “Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization” has been accepted to GECCO 2024.
Feb 12, 2024 Our paper AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks has been accepted to TMLR.
Jan 11, 2024 Raghu Rajan, Theresa Eimer, Andre Biedenkapp and I wrote a retrospective on AutoRL research in 2023.
Sep 13, 2023 Presenting two papers at EWRL 2023: Theresa Eimer will also present Contextualize Me - The Case for Context in Reinforcement Learning.
May 31, 2023 Two papers accepted at the AutoML Conference 2023 in Berlin: