About Joining My Group
Thank you for your interest in joining my lab! If you are:
- a NYU student: contact me by email and let's talk!
- not in a NYU degree program and would like to be my PhD student:
please apply directly to the CS PhD program
and mention my name (as well as others that interest you) in your research statement. I am always looking for Masters and PhD students but applications are read by a central committee and are highly competitive.
For any further questions, feel free to email me.
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News
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Research and Selected Projects
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Reinforcement Learning with Augmented Data
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
NeurIPS 2020 (Spotlight Presentation)
paper / code
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Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang, Pieter Abbeel, Lerrel Pinto
NeurIPS 2020
paper / website / code
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Generalized Hindsight for Reinforcement Learning
Alexander Li, Lerrel Pinto, Pieter Abbeel
NeurIPS 2020
paper / website
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Swoosh! Rattle! Thump! - Actions that Sound
Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto
RSS 2020
paper / website / data
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Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel
RSS 2020
paper / website / code / blog post / talk
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Hierarchically Decoupled Imitation for Morphological Transfer
Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto
ICML 2020
paper / website / code
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Discovering Motor Programs by Recomposing Demonstrations
Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, Abhinav Gupta
ICLR 2020
paper / website
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Robot Learning via Human Adversarial Games
Jiali Duan, Qian Wang, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis
IROS 2019 (Best Cognitive Robotics Paper Award Finalist)
paper
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PyRobot: An Open-source Robotics Framework for Research and Benchmarking
Adithya Murali, Tao Chen, Kalyan Vasudev Alwala, Dhiraj Gandhi, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta
Open source platform (https://www.pyrobot.org/)
white paper / code
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Environment Probing Interaction Policies
WenXuan Zhou, Lerrel Pinto, Abhinav Gupta
ICLR 2019
paper / code
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Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation
Pratyusha Sharma*, Lekha Mohan*, Lerrel Pinto, Abhinav Gupta
CoRL 2018
paper / dataset
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Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Abhinav Gupta, Adithya Murali, Dhiraj Gandhi, Lerrel Pinto [Equal contribution]
NeurIPS 2018
paper / dataset / models
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Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel
RSS 2018
paper / Video / Blog
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CASSL: Curriculum Accelerated Self-Supervised Learning
Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta
ICRA 2018
paper / Video
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Learning to Fly by Crashing
Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta
IROS 2017
paper / Video
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Robust Adversarial Reinforcement Learning
Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta
ICML 2017
paper / Video
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Supervision via Competition: Robot Adversaries for Learning Tasks
Lerrel Pinto, James Davidson and Abhinav Gupta
ICRA 2017
paper / Video / Grasp Detection Code
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Learning to Push by Grasping: Using multiple tasks for effective learning
Lerrel Pinto and Abhinav Gupta
ICRA 2017
paper / Video
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The Curious Robot: Learning Visual Representations via Physical Interactions
Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park and Abhinav Gupta
ECCV 2016 (Spotlight Presentation)
paper
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Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto and Abhinav Gupta
ICRA 2016 (Best Student Paper Award)
paper / raw data / patch dataset
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