Arun Venkatraman
Arun Venkatraman
Aurora Innovation / past: Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Deeply aggrevated: Differentiable imitation learning for sequential prediction
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
International Conference on Machine Learning, 3309-3318, 2017
1702017
Improving multi-step prediction of learned time series models
A Venkatraman, M Hebert, JA Bagnell
AAAI Conference on Artificial Intelligence, 2015
1562015
Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation
D Katz, A Venkatraman, M Kazemi, JA Bagnell, A Stentz
Robotics Science and Systems, 2013
1132013
Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping
JE Downey, JM Weiss, K Muelling, A Venkatraman, JS Valois, M Hebert, ...
Journal of neuroengineering and rehabilitation 13 (1), 1-12, 2016
772016
Autonomy infused teleoperation with application to brain computer interface controlled manipulation
K Muelling, A Venkatraman, JS Valois, JE Downey, J Weiss, S Javdani, ...
Autonomous Robots 41 (6), 1401-1422, 2017
682017
Autonomy infused teleoperation with application to BCI manipulation
K Muelling, A Venkatraman, JS Valois, J Downey, J Weiss, S Javdani, ...
arXiv preprint arXiv:1503.05451, 2015
542015
Learning to filter with predictive state inference machines
W Sun, A Venkatraman, B Boots, JA Bagnell
International conference on machine learning, 1197-1205, 2016
462016
Improved learning of dynamics models for control
A Venkatraman, R Capobianco, L Pinto, M Hebert, D Nardi, JA Bagnell
International Symposium on Experimental Robotics, 703-713, 2016
412016
Predictive-state decoders: Encoding the future into recurrent networks
A Venkatraman, N Rhinehart, W Sun, L Pinto, M Hebert, B Boots, ...
arXiv preprint arXiv:1709.08520, 2017
312017
Gradient boosting on stochastic data streams
H Hu, W Sun, A Venkatraman, M Hebert, A Bagnell
Artificial Intelligence and Statistics, 595-603, 2017
132017
DATA AS DEMONSTRATOR with Applications to System Identification
A Venkatraman, B Boots, M Hebert, JA Bagnell
NIPS Autonomously Learning Robots Workshop, 2014
132014
Online instrumental variable regression with applications to online linear system identification
A Venkatraman, W Sun, M Hebert, J Bagnell, B Boots
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
122016
Inference Machines for Nonparametric Filter Learning
A Venkatraman, W Sun, M Hebert, B Boots, JA Bagnell
25th International Joint Conference on Artificial Intelligence (IJCAI-16), 2016
72016
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
J Spencer, S Choudhury, A Venkatraman, B Ziebart, JA Bagnell
arXiv preprint arXiv:2102.02872, 2021
22021
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning
A Venkatraman
Carnegie Mellon University, 2017
12017
Brain-Machine Interface Control of a Robotic Arm for Object Grasping is Improved With Computer-Vision Based Shared Control.
CJ Tyler-Kabara EC, Downey J, Weiss J, Muelling K, Venkataraman A, Valois JS ...
Neurosurgery 62, 233--233, 2015
12015
A Novel Control Algorithm for Regulating the Tinting of Electrochromic Windows
A Venkatraman, A Ram
12005
Feedback in Imitation Learning: Confusion on Causality and Covariate Shift
J Spencer, S Choudhury, A Venkatraman, B Ziebart, JA Bagnell
arXiv e-prints, arXiv: 2102.02872, 2021
2021
Training Strategies for Time Series: Learning for Filtering and Reinforcement Learning
A Venkatraman
Georgia Institute of Technology, 2016
2016
Publication Submission Form
A Venkatraman, R Capobianco, L Pinto, M Hebert, D Nardi, JAD Bagnell, ...
Journal Article 13, 2016
2016
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