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Model Based Meta Learning of Critics for Policy Gradients



Sarah Bechtle , Ludovic Righetti , Franziska Meier


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Differentiable and Learnable Robot Models



Franziska Meier , Austin Wang , Giovanni Sutanto , Yixin Lin , Paarth Shah


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Block Contextual MDPs for Continual Learning



Shagun Sodhani , Franziska Meier , Joelle Pineau , Amy Zhang

* 26pages, Under Review 

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



Todor Davchev , Sarah Bechtle , Subramanian Ramamoorthy , Franziska Meier


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Habitat 2.0: Training Home Assistants to Rearrange their Habitat



Andrew Szot , Alex Clegg , Eric Undersander , Erik Wijmans , Yili Zhao , John Turner , Noah Maestre , Mustafa Mukadam , Devendra Chaplot , Oleksandr Maksymets , Aaron Gokaslan , Vladimir Vondrus , Sameer Dharur , Franziska Meier , Wojciech Galuba , Angel Chang , Zsolt Kira , Vladlen Koltun , Jitendra Malik , Manolis Savva , Dhruv Batra


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Learning Navigation Skills for Legged Robots with Learned Robot Embeddings



Joanne Truong , Denis Yarats , Tianyu Li , Franziska Meier , Sonia Chernova , Dhruv Batra , Akshara Rai


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Learning Extended Body Schemas from Visual Keypoints for Object Manipulation



Sarah Bechtle , Neha Das , Franziska Meier


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Leveraging Forward Model Prediction Error for Learning Control



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


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Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations



Kalesha Bullard , Franziska Meier , Douwe Kiela , Joelle Pineau , Jakob Foerster


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Model-Based Inverse Reinforcement Learning from Visual Demonstrations



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

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

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