/Lerrel Pinto

Lerrel Pinto

Portrait of Lerrel Pinto
PhD Student
Office: 121 Elliot Dunlap Smith Hall
Phone: (412) 268-3818
Advisor: Abhinav Gupta
Personal Homepage

Mailing Address
Displaying 5 Publications
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani and Andrew J. Bagnell

Conference Paper, 31st Conference on Neural Information Processing Systems (NIPS 2017), December, 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani and J. Andrew Bagnell

Conference Paper, submitted 25 September, 2017; originally announced September 2017; arXiv:1709.08520, September, 2017
Improved Learing of Dynamics for Control
Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi and J. Andrew (Drew) Bagnell

Conference Paper, International Symposium on Experimental Robotics, October, 2016
Improved Learing of Dynamics for Control
Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi and J. Andrew (Drew) Bagnell

Conference Paper, International Symposium on Experimental Robotics, October, 2016
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto and Abhinav Gupta

Master's Thesis, Tech. Report, CMU-RI-TR-16-48, Robotics Institute, Carnegie Mellon University, July, 2016
2017-09-13T10:38:20+00:00