Arun Venkatraman

19 papers A* 5A 1Journal 8Unranked 4

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