Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. - Lenart Treven; Sebastian Curi; Mojmir Mutny; Andreas Krause 001 (CoRR, 2020)

Iterative Correction of Sensor Degradation and a Bayesian Multi-Sensor Data Fusion Method. - Luka Kolar; Rok Sikonja; Lenart Treven (CoRR, 2020)

Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. - Lenart Treven; Sebastian Curi; Mojmír Mutný; Andreas Krause 001 (L4DC, 2021)

Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models. - Lenart Treven; Philippe Wenk; Florian Dörfler; Andreas Krause 001 (NeurIPS, 2021)

Optimistic Active Exploration of Dynamical Systems. - Bhavya Sukhija; Lenart Treven; Cansu Sancaktar; Sebastian Blaes; Stelian Coros; Andreas Krause 001 (NeurIPS, 2023)

Efficient Exploration in Continuous-time Model-based Reinforcement Learning. - Lenart Treven; Jonas Hübotter; Bhavya Sukhija; Florian Dörfler; Andreas Krause 001 (NeurIPS, 2023)

Bridging the Sim-to-Real Gap with Bayesian Inference. - Jonas Rothfuss; Bhavya Sukhija; Lenart Treven; Florian Dörfler; Stelian Coros; Andreas Krause 001 (IROS, 2024)

Transductive Active Learning: Theory and Applications. - Jonas Hübotter; Bhavya Sukhija; Lenart Treven; Yarden As; Andreas Krause 001 (NeurIPS, 2024)

NeoRL: Efficient Exploration for Nonepisodic RL. - Bhavya Sukhija; Lenart Treven; Florian Dörfler; Stelian Coros; Andreas Krause 001 (NeurIPS, 2024)

When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL. - Lenart Treven; Bhavya Sukhija; Yarden As; Florian Dörfler; Andreas Krause 001 (NeurIPS, 2024)

Active Few-Shot Fine-Tuning. - Jonas Hübotter; Bhavya Sukhija; Lenart Treven; Yarden As; Andreas Krause 001 (CoRR, 2024)

Information-based Transductive Active Learning. - Jonas Hübotter; Bhavya Sukhija; Lenart Treven; Yarden As; Andreas Krause 001 (CoRR, 2024)

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning. - Yarden As; Bhavya Sukhija; Lenart Treven; Carmelo Sferrazza; Stelian Coros; Andreas Krause 001 (ICLR, 2025)

Simulation Priors for Data-Efficient Deep Learning. - Lenart Treven; Bhavya Sukhija; Jonas Rothfuss; Stelian Coros; Florian Dörfler; Andreas Krause 001 (CoRR, 2025)