Search Results for author: Yarden As

Found 6 papers, 2 papers with code

Information-based Transductive Active Learning

no code implementations13 Feb 2024 Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

We generalize active learning to address real-world settings where sampling is restricted to an accessible region of the domain, while prediction targets may lie outside this region.

Active Learning Bayesian Optimization +1

Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning

no code implementations13 Nov 2023 Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause

We introduce PACOH-RL, a novel model-based Meta-Reinforcement Learning (Meta-RL) algorithm designed to efficiently adapt control policies to changing dynamics.

Meta-Learning Meta Reinforcement Learning +2

Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement

no code implementations9 May 2023 Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fuernstahl

Spinal fusion surgery requires highly accurate implantation of pedicle screw implants, which must be conducted in critical proximity to vital structures with a limited view of anatomy.

Anatomy

Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning

2 code implementations21 Jul 2022 Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause

We introduce a general approach for seeking a stationary point in high dimensional non-linear stochastic optimization problems in which maintaining safety during learning is crucial.

reinforcement-learning Reinforcement Learning (RL) +2

Constrained Policy Optimization via Bayesian World Models

1 code implementation ICLR 2022 Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause

Improving sample-efficiency and safety are crucial challenges when deploying reinforcement learning in high-stakes real world applications.

reinforcement-learning Reinforcement Learning (RL)

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