Lenart Treven Ph.D. Student External Website lenart.treven@inf.ethz.ch CAB F 61.1 +41 77 999 6574 While my research interest is very broad, I am currently exploring the areas of Continuous-time Reinforcement Learning. Publications 2024 Active Few-Shot Fine-Tuning J. Hübotter, B. Sukhija, L. Treven, Y. As, A. KrauseIn ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning, 2024[bibtex] [abstract] [pdf] 2023 Optimistic Active Exploration of Dynamical Systems B. Sukhija, L. Treven, C. Sancaktar, S. Blaes, S. Coros, A. KrauseIn Proc. Neural Information Processing Systems (NeurIPS), 2023[bibtex] [abstract] [pdf] Efficient Exploration in Continuous-time Model-based Reinforcement Learning L. Treven, J. Hübotter, B. Sukhija, F. Dörfler, A. KrauseIn Proc. Neural Information Processing Systems (NeurIPS), 2023[bibtex] [abstract] [pdf] 2021 Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models L. Treven, P. Wenk, F. Dörfler, A. KrauseIn Proc. Neural Information Processing Systems (NeurIPS), 2021[bibtex] [abstract] [pdf] Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L. Treven, S. Curi, M. Mutný, A. KrauseIn Proc. Learning for Dynamics and Control (L4DC), 2021[bibtex] [abstract] [pdf]
