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Sarah Bechtle
Sarah Bechtle
Research Scientist, DeepMind London
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Meta learning via learned loss
S Bechtle, A Molchanov, Y Chebotar, E Grefenstette, L Righetti, ...
2020 25th International Conference on Pattern Recognition (ICPR), 4161-4168, 2021
1022021
Model-based inverse reinforcement learning from visual demonstrations
N Das, S Bechtle, T Davchev, D Jayaraman, A Rai, F Meier
Conference on Robot Learning, 1930-1942, 2021
642021
Curious ilqr: Resolving uncertainty in model-based rl
S Bechtle, Y Lin, A Rai, L Righetti, F Meier
Conference on Robot Learning, 162-171, 2020
422020
On the sense of agency and of object permanence in robots
S Bechtle, G Schillaci, VV Hafner
2016 Joint IEEE International Conference on Development and Learning and …, 2016
142016
A generalist dynamics model for control
I Schubert, J Zhang, J Bruce, S Bechtle, E Parisotto, M Riedmiller, ...
arXiv preprint arXiv:2305.10912, 2023
112023
Learning time-invariant reward functions through model-based inverse reinforcement learning
T Davchev, S Bechtle, S Ramamoorthy, F Meier
arXiv preprint arXiv:2107.03186, 2021
52021
Learning extended body schemas from visual keypoints for object manipulation
S Bechtle, N Das, F Meier
arXiv preprint arXiv:2011.03882, 2020
42020
Genie: Generative Interactive Environments
J Bruce, M Dennis, A Edwards, J Parker-Holder, Y Shi, E Hughes, M Lai, ...
arXiv preprint arXiv:2402.15391, 2024
32024
Leveraging forward model prediction error for learning control
S Bechtle, B Hammoud, A Rai, F Meier, L Righetti
2021 IEEE International Conference on Robotics and Automation (ICRA), 4445-4451, 2021
32021
First steps towards the development of the sense of object permanence in robots
S Bechtle, G Schillaci, VV Hafner
2015 Joint IEEE International Conference on Development and Learning and …, 2015
32015
Offline Actor-Critic Reinforcement Learning Scales to Large Models
JT Springenberg, A Abdolmaleki, J Zhang, O Groth, M Bloesch, T Lampe, ...
arXiv preprint arXiv:2402.05546, 2024
12024
Equivariant data augmentation for generalization in offline reinforcement learning
C Pinneri, S Bechtle, M Wulfmeier, A Byravan, J Zhang, WF Whitney, ...
arXiv preprint arXiv:2309.07578, 2023
12023
Multimodal learning of keypoint predictive models for visual object manipulation
S Bechtle, N Das, F Meier
IEEE Transactions on Robotics 39 (2), 1212-1224, 2023
12023
Towards a humanoid-oriented movement writing
A Stoica, HJ Suh, SM Hewitt, S Bechtle, A Gruebler, Y Iwashita
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
12017
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
T Lampe, A Abdolmaleki, S Bechtle, SH Huang, JT Springenberg, ...
arXiv preprint arXiv:2312.11374, 2023
2023
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities
M Wulfmeier, A Byravan, S Bechtle, K Hausman, N Heess
arXiv preprint arXiv:2312.01939, 2023
2023
Lifelong learning in the real world
SME Bechtle
Universität Tübingen, 2022
2022
Model Based Meta Learning of Critics for Policy Gradients
S Bechtle, L Righetti, F Meier
arXiv preprint arXiv:2204.02210, 2022
2022
Exploring by Exploiting Bad Models in Model-Based Reinforcement Learning
Y Lin, S Bechtle, L Righetti, A Rai, F Meier
2019
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