|Deeply aggrevated: Differentiable imitation learning for sequential prediction|
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
arXiv preprint arXiv:1703.01030, 2017
|Improving multi-step prediction of learned time series models|
A Venkatraman, M Hebert, JA Bagnell
AAAI Conference on Artificial Intelligence, 2015
|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
|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
|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
|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
|Learning to filter with predictive state inference machines|
W Sun, A Venkatraman, B Boots, JA Bagnell
International conference on machine learning, 1197-1205, 2016
|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
|Predictive-state decoders: Encoding the future into recurrent networks|
A Venkatraman, N Rhinehart, W Sun, L Pinto, M Hebert, B Boots, K Kitani, ...
Advances in Neural Information Processing Systems, 1172-1183, 2017
|Relationship Between Water Migration and Quality Changes of Yellowfin Tuna (Thunnus albacares) During Storage at 0°C and 4°C by LF-NMR|
X Wang, L Geng, J Xie, YF Qian
Journal of aquatic food product technology 27 (1), 35-47, 2018
|Online Instrumental Variable Regression with Applications to Online Linear System Identification.|
A Venkatraman, W Sun, M Hebert, JA Bagnell, B Boots
AAAI, 2101-2107, 2016
|Gradient boosting on stochastic data streams|
H Hu, W Sun, A Venkatraman, M Hebert, JA Bagnell
arXiv preprint arXiv:1703.00377, 2017
|DATA AS DEMONSTRATOR with Applications to System Identification|
A Venkatraman, B Boots, M Hebert, JA Bagnell
NIPS Autonomously Learning Robots Workshop, 2014
|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
|Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning|
Carnegie Mellon University, 2017
J Achiam, D Held, A Tamar, P Abbeel, MCSBI Collision, P Chang, C Mertz, ...
Journal Article 36 (5), 139-149, 2017
|A Novel Control Algorithm for Regulating the Tinting of Electrochromic Windows|
A Venkatraman, A Ram
A Prochazka, S Gosgnach, C Capaday, H Geyer, Y Wang, DK Ramanan, ...
Journal Article 22 (6), 2428-2439, 2017
|Training Strategies for Time Series: Learning for Filtering and Reinforcement Learning|
Georgia Institute of Technology, 2016
|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