Constrained Policy Optimization via Bayesian World Models. - Yarden As; Ilnura Usmanova; Sebastian Curi; Andreas Krause 001 (ICLR, 2022)

Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement. - Yunke Ao; Hooman Esfandiari; Fabio Carrillo; Yarden As; Mazda Farshad; Benjamin F. Grewe; Andreas Krause 001; Philipp Fürnstahl (CoRR, 2023)

Transductive Active Learning: Theory and Applications. - Jonas Hübotter; Bhavya Sukhija; Lenart Treven; Yarden As; 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)

Safe Exploration Using Bayesian World Models and Log-Barrier Optimization. - Yarden As; Bhavya Sukhija; Andreas Krause 001 (CoRR, 2024)

Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. - Ilnura Usmanova; Yarden As; Maryam Kamgarpour; Andreas Krause 001 (J. Mach. Learn. Res., 2024)

Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning. - Arjun Bhardwaj; Jonas Rothfuss; Bhavya Sukhija; Yarden As; Marco Hutter 001; Stelian Coros; Andreas Krause 001 (IEEE Robotics Autom. Lett., 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)

SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement. - Yunke Ao; Hooman Esfandiari; Fabio Carrillo; Christoph J. Laux; Yarden As; Ruixuan Li 003; Kaat Van Assche; Ayoob Davoodi; Nicola Alessandro Cavalcanti; Mazda Farshad; Benjamin F. Grewe; Emmanuel B. Vander Poorten; et al. (Medical Image Anal., 2025)

Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning. - Kaixi Bao; Chenhao Li; Yarden As; Andreas Krause 001; Marco Hutter 001 (CoRR, 2025)

Stochastic Model Predictive Control for Sub-Gaussian Noise. - Yunke Ao; Johannes Köhler 001; Manish Prajapat; Yarden As; Melanie Nicole Zeilinger; Philipp Fürnstahl; Andreas Krause 001 (CoRR, 2025)

Safe-EF: Error Feedback for Nonsmooth Constrained Optimization. - Rustem Islamov; Yarden As; Ilyas Fatkhullin (CoRR, 2025)

Learning Safety Constraints for Large Language Models. - Xin Chen; Yarden As; Andreas Krause 001 (CoRR, 2025)

Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery. - Yunke Ao; Manish Prajapat; Yarden As; Yassine Taoudi-Benchekroun; Fabio Carrillo; Hooman Esfandiari; Benjamin F. Grewe; Andreas Krause 001; Philipp Fürnstahl (CoRR, 2025)