Arun Venkatraman

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 16

Top Topics

Covariate Shift

Boltzmann Machine

Imitation Learning

Top Venues

Robotics: Science and Systems

Publications

Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell
Feedback in Imitation Learning: The Three Regimes of Covariate Shift. CoRR (2021)
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell
Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR (2017)
Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell
Gradient Boosting on Stochastic Data Streams. CoRR (2017)
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. ICML (2017)
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell
Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS (2017)
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. CoRR (2017)
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
Autonomy infused teleoperation with application to brain computer interface controlled manipulation. Auton. Robots 41 (6) (2017)
Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell
Gradient Boosting on Stochastic Data Streams. AISTATS (2017)
Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell
Inference Machines for Nonparametric Filter Learning. IJCAI (2016)
Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi, J. Andrew Bagnell
Improved Learning of Dynamics Models for Control. ISER (2016)
Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell
Learning to Filter with Predictive State Inference Machines. ICML (2016)
Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots
Online Instrumental Variable Regression with Applications to Online Linear System Identification. AAAI (2016)
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
Autonomy Infused Teleoperation with Application to BCI Manipulation. Robotics: Science and Systems (2015)
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
Autonomy Infused Teleoperation with Application to BCI Manipulation. CoRR (2015)
Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell
Learning to Filter with Predictive State Inference Machines. CoRR (2015)
Arun Venkatraman, Martial Hebert, J. Andrew Bagnell
Improving Multi-Step Prediction of Learned Time Series Models. AAAI (2015)
Dov Katz, Arun Venkatraman, Moslem Kazemi, J. Andrew Bagnell, Anthony Stentz
Perceiving, learning, and exploiting object affordances for autonomous pile manipulation. Auton. Robots 37 (4) (2014)
Dov Katz, Arun Venkatraman, Moslem Kazemi, Drew Bagnell, Anthony Stentz
Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation. Robotics: Science and Systems (2013)