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ORCIDSarah Bechtle
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2020 – today
- 2024
[c10]Jake Bruce, Michael D. 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 C. Y. 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:
Genie: Generative Interactive Environments. ICML 2024- [c9]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:
Offline Actor-Critic Reinforcement Learning Scales to Large Models. ICML 2024 - [c8]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:
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA 2024: 7772-7779 - [i14]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:
Offline Actor-Critic Reinforcement Learning Scales to Large Models. CoRR abs/2402.05546 (2024) - [i13]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:
Genie: Generative Interactive Environments. CoRR abs/2402.15391 (2024) - [i12]Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jorg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller:
Imitating Language via Scalable Inverse Reinforcement Learning. CoRR abs/2409.01369 (2024) - 2023
- [j1]Sarah Bechtle
, Neha Das, Franziska Meier:
Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation. IEEE Trans. Robotics 39(2): 1212-1224 (2023) - [i11]Ingmar Schubert, Jingwei Zhang, Jake Bruce, Sarah Bechtle, Emilio Parisotto, Martin A. Riedmiller, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Nicolas Heess:
A Generalist Dynamics Model for Control. CoRR abs/2305.10912 (2023) - [i10]Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller:
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR abs/2309.07578 (2023) - [i9]Markus Wulfmeier, Arunkumar Byravan, Sarah Bechtle, Karol Hausman, Nicolas Heess:
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities. CoRR abs/2312.01939 (2023) - [i8]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:
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR abs/2312.11374 (2023) - 2022
- [i7]Sarah Bechtle, Ludovic Righetti, Franziska Meier:
Model Based Meta Learning of Critics for Policy Gradients. CoRR abs/2204.02210 (2022) - 2021
- [c7]Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti:
Leveraging Forward Model Prediction Error for Learning Control. ICRA 2021: 4445-4451 - [i6]Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier:
Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. CoRR abs/2107.03186 (2021) - 2020
- [c6]Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier:
Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRL 2020: 1930-1942 - [c5]Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav S. Sukhatme, Franziska Meier:
Meta Learning via Learned Loss. ICPR 2020: 4161-4168 - [i5]Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier:
Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRR abs/2010.09034 (2020) - [i4]Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti:
Leveraging Forward Model Prediction Error for Learning Control. CoRR abs/2011.03859 (2020) - [i3]Sarah Bechtle, Neha Das, Franziska Meier:
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation. CoRR abs/2011.03882 (2020)
2010 – 2019
- 2019
- [c4]Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRL 2019: 162-171 - [i2]Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR abs/1904.06786 (2019) - [i1]Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav S. Sukhatme:
Meta-Learning via Learned Loss. CoRR abs/1906.05374 (2019) - 2017
- [c3]Adrian Stoica, Hyung Ju Suh, Steven M. Hewitt, Sarah Bechtle, Anna Gruebler, Yumi Iwashita:
Towards a humanoid-oriented movement writing. SMC 2017: 3266-3271 - 2016
- [c2]Sarah Bechtle, Guido Schillaci, Verena V. Hafner:
On the sense of agency and of object permanence in robots. ICDL-EPIROB 2016: 166-171 - 2015
- [c1]Sarah Bechtle, Guido Schillaci, Verena V. Hafner:
First steps towards the development of the sense of object permanence in robots. ICDL-EPIROB 2015: 283-284
Coauthor Index
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last updated on 2024-10-08 21:29 CEST by the dblp team
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