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Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation


May 19, 2021
Peter Karkus, Shaojun Cai, David Hsu

* CVPR 2021, extended results 

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Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban


Oct 03, 2020
Peter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber


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Physically Embedded Planning Problems: New Challenges for Reinforcement Learning


Sep 11, 2020
Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Peter Karkus, Sébastien Racanière, Lars Buesing, Timothy Lillicrap, Nicolas Heess


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Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization


May 19, 2020
Peter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski

* ICRA 2020 

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Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations


Feb 23, 2020
Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee, Nan Ye

* Accepted to ICLR 2020 

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Particle Filter Recurrent Neural Networks


May 30, 2019
Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee

* Under review for NeurIPS 2019 

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Differentiable Algorithm Networks for Composable Robot Learning


May 28, 2019
Peter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomas Lozano-Perez

* RSS 2019 camera ready. Video is available at https://youtu.be/4jcYlTSJF4Y 

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Factored Contextual Policy Search with Bayesian Optimization


Apr 26, 2019
Robert Pinsler, Peter Karkus, Andras Kupcsik, David Hsu, Wee Sun Lee

* To appear in ICRA 2019 

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Particle Filter Networks with Application to Visual Localization


Oct 25, 2018
Peter Karkus, David Hsu, Wee Sun Lee

* CoRL 2018 camera ready 

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Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation


Jul 17, 2018
Peter Karkus, David Hsu, Wee Sun Lee

* MLPC workshop, ICRA 2018 

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QMDP-Net: Deep Learning for Planning under Partial Observability


Nov 03, 2017
Peter Karkus, David Hsu, Wee Sun Lee

* NIPS 2017 camera-ready 

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