Arun Venkatraman
Arun Venkatraman
Aurora Innovation / past: Carnegie Mellon University
Verifierad e-postadress på cs.cmu.edu - Startsida
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Deeply aggrevated: Differentiable imitation learning for sequential prediction
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
arXiv preprint arXiv:1703.01030, 2017
1372017
Improving multi-step prediction of learned time series models
A Venkatraman, M Hebert, JA Bagnell
AAAI Conference on Artificial Intelligence, 2015
1262015
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
1032013
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
602016
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
532015
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
442017
Learning to filter with predictive state inference machines
W Sun, A Venkatraman, B Boots, JA Bagnell
International conference on machine learning, 1197-1205, 2016
402016
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
352016
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 30, 1172-1183, 2017
292017
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
132018
Gradient boosting on stochastic data streams
H Hu, W Sun, A Venkatraman, M Hebert, JA Bagnell
arXiv preprint arXiv:1703.00377, 2017
122017
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
122016
DATA AS DEMONSTRATOR with Applications to System Identification
A Venkatraman, B Boots, M Hebert, JA Bagnell
NIPS Autonomously Learning Robots Workshop, 2014
112014
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
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning
A Venkatraman
Carnegie Mellon University, 2017
12017
Home/Publications
J Achiam, D Held, A Tamar, P Abbeel, MCSBI Collision, P Chang, C Mertz, ...
Journal Article 36 (5), 139-149, 2017
12017
A Novel Control Algorithm for Regulating the Tinting of Electrochromic Windows
A Venkatraman, A Ram
12005
Home/Publications
A Prochazka, S Gosgnach, C Capaday, H Geyer, Y Wang, DK Ramanan, ...
Journal Article 22 (6), 2428-2439, 2017
2017
Locomotion of a Multi-Link Nonholonomic Snake Robot
D Maps, PRI Logos
Journal Article 108, 56-63, 2017
2017
Training Strategies for Time Series: Learning for Filtering and Reinforcement Learning
A Venkatraman
Georgia Institute of Technology, 2016
2016
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Artiklar 1–20