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 2025 ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Y. As*, B. Sukhija*, L. Treven, C. Sferrazza, S. Coros, A. KrauseIn Proc. International Conference on Learning Representations (ICLR), 2025[bibtex] [abstract] [pdf] 2024 NeoRL: Efficient Exploration for Nonepisodic RL B. Sukhija, L. Treven, F. Dörfler, S. Coros, A. KrauseIn Advances in Neural Information Processing Systems (NeurIPS), 2024Spotlight[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 Advances in Neural Information Processing Systems (NeurIPS), 2024[bibtex] [abstract] [pdf] Transductive Active Learning: Theory and Applications J. Hübotter, B. Sukhija, L. Treven, Y. As, A. KrauseIn Proc. Neural Information Processing Systems (NeurIPS), 2024Oral presentation at Aligning Reinforcement Learning Experimentalists and Theorists Workshop at ICML[bibtex] [abstract] [pdf] Bridging the Sim-to-Real Gap with Bayesian Inference J. Rothfuss*, B. Sukhija*, L. Treven*, F. Dörfler, S. Coros, A. KrauseIn Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems (IROS), 2024Oral presentation[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]
