Sarah Bechtle - RankMe

25 papers A* 5B 2Misc 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Genie: Generative Interactive Environments. ICML 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
2024	J	`jnl`	Genie: Generative Interactive Environments. CoRR 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
2024	A*	`conf`	Imitating Language via Scalable Inverse Reinforcement Learning. NeurIPS Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024	A*	`conf`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA 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
2024	A*	`conf`	Offline Actor-Critic Reinforcement Learning Scales to Large Models. ICML 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
2024	J	`jnl`	Offline Actor-Critic Reinforcement Learning Scales to Large Models. CoRR 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
2023	J	`jnl`	A Generalist Dynamics Model for Control. CoRR Ingmar Schubert, Jingwei Zhang, Jake Bruce, Sarah Bechtle, Emilio Parisotto, Martin A. Riedmiller, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Nicolas Heess
2023	J	`jnl`	Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller
2023	J	`jnl`	Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities. CoRR Markus Wulfmeier, Arunkumar Byravan, Sarah Bechtle, Karol Hausman, Nicolas Heess
2023	J	`jnl`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR 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
2023	J	`jnl`	Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation. IEEE Trans. Robotics Sarah Bechtle, Neha Das, Franziska Meier
2022	J	`jnl`	Model Based Meta Learning of Critics for Policy Gradients. CoRR Sarah Bechtle, Ludovic Righetti, Franziska Meier
2021	J	`jnl`	Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. CoRR Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier
2021	A*	`conf`	Leveraging Forward Model Prediction Error for Learning Control. ICRA Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti
2020	J	`jnl`	Learning Extended Body Schemas from Visual Keypoints for Object Manipulation. CoRR Sarah Bechtle, Neha Das, Franziska Meier
2020	J	`jnl`	Leveraging Forward Model Prediction Error for Learning Control. CoRR Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti
2020	B	`conf`	Meta Learning via Learned Loss. ICPR Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav S. Sukhatme, Franziska Meier
2020	Misc	`conf`	Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRL Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
2020	J	`jnl`	Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRR Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
2019	Misc	`conf`	Curious iLQR: Resolving Uncertainty in Model-based RL. CoRL Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier
2019	J	`jnl`	Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier
2019	J	`jnl`	Meta-Learning via Learned Loss. CoRR Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav S. Sukhatme
2017	B	`conf`	Towards a humanoid-oriented movement writing. SMC Adrian Stoica, Hyung Ju Terry Suh, Steven M. Hewitt, Sarah Bechtle, Anna Gruebler, Yumi Iwashita
2016	—	`conf`	On the sense of agency and of object permanence in robots. ICDL-EPIROB Sarah Bechtle, Guido Schillaci, Verena V. Hafner
2015	—	`conf`	First steps towards the development of the sense of object permanence in robots. ICDL-EPIROB Sarah Bechtle, Guido Schillaci, Verena V. Hafner