Follow
Lerrel Pinto
Lerrel Pinto
Verified email at cs.nyu.edu - Homepage
Title
Cited by
Cited by
Year
Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
L Pinto, A Gupta
2016 IEEE international conference on robotics and automation (ICRA), 3406-3413, 2016
11552016
Robust adversarial reinforcement learning
L Pinto, J Davidson, R Sukthankar, A Gupta
Proceedings of the 34th International Conference on Machine Learning-Volumeá…, 2017
7282017
Reinforcement learning with augmented data
M Laskin, K Lee, A Stooke, L Pinto, P Abbeel, A Srinivas
Advances in neural information processing systems 33, 19884-19895, 2020
4372020
Learning to fly by crashing
D Gandhi, L Pinto, A Gupta
2017 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2017
3382017
Asymmetric actor critic for image-based robot learning
L Pinto, M Andrychowicz, P Welinder, W Zaremba, P Abbeel
Robotics: Science and Systems, 2018, 2017
2662017
The curious robot: Learning visual representations via physical interactions
L Pinto, D Gandhi, Y Han, YL Park, A Gupta
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, Theá…, 2016
2042016
Learning to manipulate deformable objects without demonstrations
Y Wu, W Yan, T Kurutach, L Pinto, P Abbeel
Robotics: Science and Systems, 2020, 2019
1412019
Learning predictive representations for deformable objects using contrastive estimation
W Yan, A Vangipuram, P Abbeel, L Pinto
Conference on Robot Learning, 564-574, 2021
1352021
Learning to push by grasping: Using multiple tasks for effective learning
L Pinto, A Gupta
2017 IEEE international conference on robotics and automation (ICRA), 2161-2168, 2017
1342017
Reinforcement learning with prototypical representations
D Yarats, R Fergus, A Lazaric, L Pinto
International Conference on Machine Learning, 11920-11931, 2021
1222021
Robot learning in homes: Improving generalization and reducing dataset bias
A Gupta, A Murali, DP Gandhi, L Pinto
Advances in neural information processing systems 31, 2018
1212018
Mastering visual continuous control: Improved data-augmented reinforcement learning
D Yarats, R Fergus, A Lazaric, L Pinto
arXiv preprint arXiv:2107.09645, 2021
1082021
Self-supervised policy adaptation during deployment
N Hansen, R Jangir, Y Sun, G AlenyÓ, P Abbeel, AA Efros, L Pinto, ...
arXiv preprint arXiv:2007.04309, 2020
972020
Pyrobot: An open-source robotics framework for research and benchmarking
A Murali, T Chen, KV Alwala, D Gandhi, L Pinto, S Gupta, A Gupta
arXiv preprint arXiv:1906.08236, 2019
902019
Supervision via competition: Robot adversaries for learning tasks
L Pinto, J Davidson, A Gupta
2017 IEEE International Conference on Robotics and Automation (ICRA), 1601-1608, 2017
842017
State-only imitation learning for dexterous manipulation
I Radosavovic, X Wang, L Pinto, J Malik
2021 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2021
752021
A framework for efficient robotic manipulation
A Zhan, R Zhao, L Pinto, P Abbeel, M Laskin
Deep RL Workshop NeurIPS 2021, 2020
722020
Multiple interactions made easy (mime): Large scale demonstrations data for imitation
P Sharma, L Mohan, L Pinto, A Gupta
Conference on Robot Learning, 2018, 2018
652018
Automatic curriculum learning through value disagreement
Y Zhang, P Abbeel, L Pinto
Advances in Neural Information Processing Systems 33, 7648-7659, 2020
632020
URLB: Unsupervised reinforcement learning benchmark
M Laskin, D Yarats, H Liu, K Lee, A Zhan, K Lu, C Cang, L Pinto, P Abbeel
arXiv preprint arXiv:2110.15191, 2021
572021
The system can't perform the operation now. Try again later.
Articles 1–20