Franziska Meier

* Accepted at the 4th Conference on Robotic Learning (CoRL 2020), Cambridge MA, USA

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Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion

Sep 18, 2020
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai

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Residual Learning from Demonstration

Aug 18, 2020
Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy

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Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed

Jun 29, 2020
Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier

* Submitted to the International Journal of Robotics Research. Paper length is 21 pages (including references) with 12 figures. A video overview of the reinforcement learning experiment on the real robot can be seen at https://www.youtube.com/watch?v=WDq1rcupVM0. arXiv admin note: text overlap with arXiv:1710.08555

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Adversarial Continual Learning

Mar 21, 2020
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

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Learning State-Dependent Losses for Inverse Dynamics Learning

Mar 12, 2020
Kristen Morse, Neha Das, Yixin Lin, Austin Wang, Akshara Rai, Franziska Meier

* 9 pages, 8 figures, submitted to IROS 2020, Kristen Morse and Neha Das had equal contribution

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Encoding Physical Constraints in Differentiable Newton-Euler Algorithm

Feb 19, 2020
Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier

* 10 pages (i.e. 8 pages of technical content and 2 pages of the Bibliography/References), submitted and currently under review for publication at the 2nd Learning for Dynamics and Control (L4DC) Conference, year 2020

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Generalized Inner Loop Meta-Learning

Oct 07, 2019
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala

* 17 pages, 3 figures, 1 algorithm

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Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning

Sep 26, 2019
Tianyu Li, Nathan Lambert, Roberto Calandra, Franziska Meier, Akshara Rai

* Submitted to 2020 ICRA

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Meta-Learning via Learned Loss

Jun 12, 2019
Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav Sukhatme

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Curious iLQR: Resolving Uncertainty in Model-based RL

Apr 15, 2019
Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier

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A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation

Aug 01, 2018
Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis G. Banerjee

* 38 pages, 9 figures

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Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots

May 07, 2018
Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson

* The first two authors made equal contributions

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Online Learning of a Memory for Learning Rates

Mar 23, 2018
Franziska Meier, Daniel Kappler, Stefan Schaal

* accepted to ICRA 2018, code available: https://github.com/fmeier/online-meta-learning ; video pitch available: https://youtu.be/9PzQ25FPPOM

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