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2020 – today
- 2025
[j3]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:
SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement. Medical Image Anal. 99: 103345 (2025)- 2024
- [j2]Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause:
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. J. Mach. Learn. Res. 25: 171:1-171:54 (2024) - [j1]Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause:
Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning. IEEE Robotics Autom. Lett. 9(4): 3918-3925 (2024) - [i8]Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause:
Active Few-Shot Fine-Tuning. CoRR abs/2402.15441 (2024) - [i7]Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause:
Information-based Transductive Active Learning. CoRR abs/2402.15898 (2024) - [i6]Yarden As, Bhavya Sukhija, Andreas Krause:
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization. CoRR abs/2405.05890 (2024) - [i5]Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause:
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL. CoRR abs/2406.01163 (2024) - 2023
- [i4]Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl:
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement. CoRR abs/2305.05354 (2023) - [i3]Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause:
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning. CoRR abs/2311.07558 (2023) - 2022
- [c1]Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause:
Constrained Policy Optimization via Bayesian World Models. ICLR 2022 - [i2]Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause:
Constrained Policy Optimization via Bayesian World Models. CoRR abs/2201.09802 (2022) - [i1]Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause:
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. CoRR abs/2207.10415 (2022)
Coauthor Index
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