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Feedback in Imitation Learning: The Three Regimes of Covariate Shift


Feb 11, 2021
Jonathan Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian Ziebart, J. Andrew Bagnell


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Feedback in Imitation Learning: Confusion on Causality and Covariate Shift


Feb 04, 2021
Jonathan Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian Ziebart, J. Andrew Bagnell


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Predictive-State Decoders: Encoding the Future into Recurrent Networks


Sep 25, 2017
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell

* NIPS 2017 

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Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction


Mar 03, 2017
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell

* 17 pages 

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Gradient Boosting on Stochastic Data Streams


Mar 01, 2017
Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell

* To appear in AISTATS 2017 

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Learning to Filter with Predictive State Inference Machines


May 30, 2016
Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell

* ICML 2016 

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Autonomy Infused Teleoperation with Application to BCI Manipulation


Jun 07, 2015
Katharina Muelling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell


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