Yarden As

27 papers A* 6Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery.
IEEE Robotics Autom. Lett.
Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl
2026 J jnl
Safe Exploration via Policy Priors.
CoRR
Manuel Wendl, Yarden As, Manish Prajapat, Anton Pollak, Stelian Coros, Andreas Krause
2026 J jnl
What Matters for Simulation to Online Reinforcement Learning on Real Robots.
CoRR
Yarden As, Dhruva Tirumala, René Zurbrügg, Chenhao Li, Stelian Coros, Andreas Krause, Markus Wulfmeier
2025 A* conf
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning.
ICLR
Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause
2025 A* conf
Learning Safety Constraints for Large Language Models.
ICML
Xin Chen, Yarden As, Andreas Krause
2025 J jnl
Learning Safety Constraints for Large Language Models.
CoRR
Xin Chen, Yarden As, Andreas Krause
2025 J jnl
Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery.
CoRR
Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl
2025 J jnl
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer.
CoRR
Yarden As, Chengrui Qu, Benjamin Unger, Dongho Kang, Max van der Hart, Laixi Shi, Stelian Coros, Adam Wierman, Andreas Krause
2025 A* conf
Safe-EF: Error Feedback for Non-smooth Constrained Optimization.
ICML
Rustem Islamov, Yarden As, Ilyas Fatkhullin
2025 J jnl
Safe-EF: Error Feedback for Nonsmooth Constrained Optimization.
CoRR
Rustem Islamov, Yarden As, Ilyas Fatkhullin
2025 J jnl
SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.
Medical Image Anal.
Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Christoph J. Laux, Yarden As, Ruixuan Li, Kaat Van Assche, Ayoob Davoodi, Nicola Alessandro Cavalcanti, Mazda Farshad, Benjamin F. Grewe, Emmanuel B. Vander Poorten, Andreas Krause, Philipp Fürnstahl
2025 J jnl
Stochastic Model Predictive Control for Sub-Gaussian Noise.
CoRR
Yunke Ao, Johannes Köhler, Manish Prajapat, Yarden As, Melanie Nicole Zeilinger, Philipp Fürnstahl, Andreas Krause
2025 J jnl
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning.
CoRR
Kaixi Bao, Chenhao Li, Yarden As, Andreas Krause, Marco Hutter
2024 J jnl
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning.
CoRR
Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause
2024 J jnl
Active Few-Shot Fine-Tuning.
CoRR
Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2024 J jnl
Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning.
IEEE Robotics Autom. Lett.
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
2024 J jnl
Information-based Transductive Active Learning.
CoRR
Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2024 J jnl
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning.
J. Mach. Learn. Res.
Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause
2024 J jnl
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization.
CoRR
Yarden As, Bhavya Sukhija, Andreas Krause
2024 A* conf
Transductive Active Learning: Theory and Applications.
NeurIPS
Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2024 A* conf
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL.
NeurIPS
Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause
2024 J jnl
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL.
CoRR
Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause
2023 J jnl
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning.
CoRR
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
2023 J jnl
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement.
CoRR
Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl
2022 A* conf
Constrained Policy Optimization via Bayesian World Models.
ICLR
Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause
2022 J jnl
Constrained Policy Optimization via Bayesian World Models.
CoRR
Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause
2022 J jnl
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning.
CoRR
Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause