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Lerrel Pinto
Lerrel Pinto
New York University
Geverifieerd e-mailadres voor cs.nyu.edu - Homepage
Titel
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Geciteerd door
Jaar
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
14052016
Robust adversarial reinforcement learning
L Pinto, J Davidson, R Sukthankar, A Gupta
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
11012017
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
8002020
Open x-embodiment: Robotic learning datasets and rt-x models
A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ...
arXiv preprint arXiv:2310.08864, 2023
504*2023
Learning to fly by crashing
D Gandhi, L Pinto, A Gupta
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
4192017
Asymmetric actor critic for image-based robot learning
L Pinto, M Andrychowicz, P Welinder, W Zaremba, P Abbeel
Robotics: Science and Systems, 2018, 2017
4172017
Mastering visual continuous control: Improved data-augmented reinforcement learning
D Yarats, R Fergus, A Lazaric, L Pinto
arXiv preprint arXiv:2107.09645, 2021
3612021
Reinforcement learning with prototypical representations
D Yarats, R Fergus, A Lazaric, L Pinto
International Conference on Machine Learning, 11920-11931, 2021
2512021
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
2392018
Learning to manipulate deformable objects without demonstrations
Y Wu, W Yan, T Kurutach, L Pinto, P Abbeel
Robotics: Science and Systems, 2020, 2019
2312019
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, The …, 2016
2212016
Learning predictive representations for deformable objects using contrastive estimation
W Yan, A Vangipuram, P Abbeel, L Pinto
Conference on Robot Learning, 564-574, 2021
2202021
Behavior Transformers: Cloning modes with one stone
NM Mahi Shafiullah, ZJ Cui, A Altanzaya, L Pinto
arXiv e-prints, arXiv: 2206.11251, 2022
195*2022
Self-supervised policy adaptation during deployment
N Hansen, R Jangir, Y Sun, G Alenyà, P Abbeel, AA Efros, L Pinto, ...
arXiv preprint arXiv:2007.04309, 2020
1772020
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
1752017
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
1712021
The surprising effectiveness of representation learning for visual imitation
J Pari, NM Shafiullah, SP Arunachalam, L Pinto
arXiv preprint arXiv:2112.01511, 2021
1492021
Clip-fields: Weakly supervised semantic fields for robotic memory
NMM Shafiullah, C Paxton, L Pinto, S Chintala, A Szlam
arXiv preprint arXiv:2210.05663, 2022
1462022
State-only imitation learning for dexterous manipulation
I Radosavovic, X Wang, L Pinto, J Malik
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
131*2021
A framework for efficient robotic manipulation
A Zhan, R Zhao, L Pinto, P Abbeel, M Laskin
Deep RL Workshop NeurIPS 2021, 2021
124*2021
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Artikelen 1–20