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] Transductive Active Learning with Application to Safe Bayesian Optimization J. Hübotter, B. Sukhija, L. Treven, Y. As, A. KrauseIn ICML 2024 Workshop on Aligning Reinforcement Learning Experimentalists and Theorists, 2024Oral presentation[bibtex] [abstract] [pdf] Bridging the Sim-to-Real Gap with Bayesian Inference J. Rothfuss*, B. Sukhija*, L. Treven*, F. Dörfler, S. Coros, A. KrauseIn arXiv preprint arXiv:2403.16644, 2024[bibtex] [abstract] [pdf] NeoRL: Efficient Exploration for Nonepisodic RL B. Sukhija, L. Treven, F. Dörfler, S. Coros, A. KrauseIn arXiv preprint arXiv:2406.01175, 2024[bibtex] [abstract] [pdf] Transductive Active Learning: Theory and Applications J. Hübotter, B. Sukhija, L. Treven, Y. As, A. KrauseIn arXiv preprint arXiv:2402.15898, 2024[bibtex] [abstract] [pdf] When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL L. Treven, B. Sukhija, Y. As, F. Dörfler, A. KrauseIn arXiv preprint arXiv:2406.01163, 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]