Sarah Bechtle

According to our database, Sarah Bechtle authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Genie: Generative Interactive Environments.

Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel

CoRR, 2024

Offline Actor-Critic Reinforcement Learning Scales to Large Models.

Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller

CoRR, 2024

2023

Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation.

Sarah Bechtle, Neha Das, Franziska Meier

IEEE Trans. Robotics, April, 2023

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots.

Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller

CoRR, 2023

Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities.

Markus Wulfmeier, Arunkumar Byravan, Sarah Bechtle, Karol Hausman, Nicolas Heess

CoRR, 2023

Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning.

Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller

CoRR, 2023

A Generalist Dynamics Model for Control.

Ingmar Schubert, Jingwei Zhang, Jake Bruce, Sarah Bechtle, Emilio Parisotto, Martin A. Riedmiller, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Nicolas Heess

CoRR, 2023

2022

Model Based Meta Learning of Critics for Policy Gradients.

Sarah Bechtle, Ludovic Righetti, Franziska Meier

CoRR, 2022

2021

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning.

Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier

CoRR, 2021

Leveraging Forward Model Prediction Error for Learning Control.

Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning Extended Body Schemas from Visual Keypoints for Object Manipulation.

Sarah Bechtle, Neha Das, Franziska Meier

CoRR, 2020

Meta Learning via Learned Loss.

Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav S. Sukhatme, Franziska Meier

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Model-Based Inverse Reinforcement Learning from Visual Demonstrations.

Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Meta-Learning via Learned Loss.

Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav S. Sukhatme

CoRR, 2019

Curious iLQR: Resolving Uncertainty in Model-based RL.

Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017

Towards a humanoid-oriented movement writing.

Adrian Stoica, Hyung Ju Suh, Steven M. Hewitt, Sarah Bechtle, Anna Gruebler, Yumi Iwashita

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

On the sense of agency and of object permanence in robots.

Sarah Bechtle, Guido Schillaci, Verena V. Hafner

Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

2015

First steps towards the development of the sense of object permanence in robots.

Sarah Bechtle, Guido Schillaci, Verena V. Hafner

Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015