Підписатись
Lerrel Pinto
Lerrel Pinto
New York University
Підтверджена електронна адреса в cs.nyu.edu - Домашня сторінка
Назва
Посилання
Посилання
Рік
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
14092016
Robust adversarial reinforcement learning
L Pinto, J Davidson, R Sukthankar, A Gupta
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
11112017
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
8022020
Open x-embodiment: Robotic learning datasets and rt-x models
JJ Lim
IEEE International Conference on Robotics and Automation, 2024
526*2024
Asymmetric actor critic for image-based robot learning
L Pinto, M Andrychowicz, P Welinder, W Zaremba, P Abbeel
Robotics: Science and Systems, 2018, 2017
4252017
Learning to fly by crashing
D Gandhi, L Pinto, A Gupta
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
4192017
Mastering visual continuous control: Improved data-augmented reinforcement learning
D Yarats, R Fergus, A Lazaric, L Pinto
arXiv preprint arXiv:2107.09645, 2021
3642021
Reinforcement learning with prototypical representations
D Yarats, R Fergus, A Lazaric, L Pinto
International Conference on Machine Learning, 11920-11931, 2021
2562021
Learning to manipulate deformable objects without demonstrations
Y Wu, W Yan, T Kurutach, L Pinto, P Abbeel
Robotics: Science and Systems, 2020, 2019
2332019
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
2172021
Behavior Transformers: Cloning modes with one stone
NM Mahi Shafiullah, ZJ Cui, A Altanzaya, L Pinto
arXiv e-prints, arXiv: 2206.11251, 2022
204*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
1782020
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
1762017
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
1752021
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
1592018
The surprising effectiveness of representation learning for visual imitation
J Pari, NM Shafiullah, SP Arunachalam, L Pinto
arXiv preprint arXiv:2112.01511, 2021
1462021
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
1452022
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
1292021
Automatic curriculum learning through value disagreement
Y Zhang, P Abbeel, L Pinto
Advances in Neural Information Processing Systems 33, 7648-7659, 2020
1242020
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