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Arun Venkatraman
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2020 – today
- 2021
- [i6]Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell:
Feedback in Imitation Learning: The Three Regimes of Covariate Shift. CoRR abs/2102.02872 (2021)
2010 – 2019
- 2017
- [b1]Arun Venkatraman:
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning. Carnegie Mellon University, USA, 2017 - [j2]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): 1401-1422 (2017) - [c10]Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Gradient Boosting on Stochastic Data Streams. AISTATS 2017: 595-603 - [c9]Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. ICML 2017: 3309-3318 - [c8]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: 1172-1183 - [i5]Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Gradient Boosting on Stochastic Data Streams. CoRR abs/1703.00377 (2017) - [i4]Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. CoRR abs/1703.01030 (2017) - [i3]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 abs/1709.08520 (2017) - 2016
- [c7]Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots:
Online Instrumental Variable Regression with Applications to Online Linear System Identification. AAAI 2016: 2101-2107 - [c6]Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell:
Learning to Filter with Predictive State Inference Machines. ICML 2016: 1197-1205 - [c5]Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell:
Inference Machines for Nonparametric Filter Learning. IJCAI 2016: 2074-2081 - [c4]Arun Venkatraman, Roberto Capobianco
Improved Learning of Dynamics Models for Control. ISER 2016: 703-713 - 2015
- [c3]Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Improving Multi-Step Prediction of Learned Time Series Models. AAAI 2015: 3024-3030 - [c2]Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey
Autonomy Infused Teleoperation with Application to BCI Manipulation. Robotics: Science and Systems 2015 - [i2]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 abs/1503.05451 (2015) - [i1]Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell:
Learning to Filter with Predictive State Inference Machines. CoRR abs/1512.08836 (2015) - 2014
- [j1]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): 369-382 (2014) - 2013
- [c1]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
Coauthor Index
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