Perceiving, learning, and exploiting object affordances for autonomous pile manipulation. - Dov Katz; Arun Venkatraman; Moslem Kazemi; J. Andrew Bagnell; Anthony Stentz (Auton. Robots, 2014)

Improving Multi-Step Prediction of Learned Time Series Models. - Arun Venkatraman; Martial Hebert; J. Andrew Bagnell (AAAI, 2015)

Autonomy Infused Teleoperation with Application to BCI Manipulation. - Katharina Mülling; Arun Venkatraman; Jean-Sebastien Valois; John Downey; Jeffrey M. Weiss; Shervin Javdani; Martial Hebert; Andrew B. Schwartz; Jennifer L. Collinger; J. Andrew Bagnell (Robotics: Science and Systems, 2015)

Online Instrumental Variable Regression with Applications to Online Linear System Identification. - Arun Venkatraman; Wen Sun 002; Martial Hebert; J. Andrew Bagnell; Byron Boots (AAAI, 2016)

Learning to Filter with Predictive State Inference Machines. - Wen Sun 002; Arun Venkatraman; Byron Boots; J. Andrew Bagnell (ICML, 2016)

Inference Machines for Nonparametric Filter Learning. - Arun Venkatraman; Wen Sun 002; Martial Hebert; Byron Boots; J. Andrew Bagnell (IJCAI, 2016)

Improved Learning of Dynamics Models for Control. - Arun Venkatraman; Roberto Capobianco; Lerrel Pinto; Martial Hebert; Daniele Nardi; J. Andrew Bagnell (ISER, 2016)

Gradient Boosting on Stochastic Data Streams. - Hanzhang Hu; Wen Sun 002; Arun Venkatraman; Martial Hebert; J. Andrew Bagnell (AISTATS, 2017)

Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. - Wen Sun 002; Arun Venkatraman; Geoffrey J. Gordon; Byron Boots; J. Andrew Bagnell (ICML, 2017)

Predictive-State Decoders: Encoding the Future into Recurrent Networks. - Arun Venkatraman; Nicholas Rhinehart; Wen Sun 002; Lerrel Pinto; Martial Hebert; Byron Boots; Kris M. Kitani; James Andrew Bagnell (NIPS, 2017)

Autonomy infused teleoperation with application to brain computer interface controlled manipulation. - Katharina Mülling; Arun Venkatraman; Jean-Sebastien Valois; John Downey; Jeffrey M. Weiss; Shervin Javdani; Martial Hebert; Andrew B. Schwartz; Jennifer L. Collinger; J. Andrew Bagnell (Auton. Robots, 2017)

Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning. - Arun Venkatraman (2017)

Feedback in Imitation Learning: The Three Regimes of Covariate Shift. - Jonathan C. Spencer; Sanjiban Choudhury; Arun Venkatraman; Brian D. Ziebart; J. Andrew Bagnell (CoRR, 2021)