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2020 – today
- 2022
[c32]Ben Evans, Abitha Thankaraj, Lerrel Pinto:
Context is Everything: Implicit Identification for Dynamics Adaptation. ICRA 2022: 2642-2648- [i43]Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto:
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning. CoRR abs/2201.13425 (2022) - [i42]Ben Evans, Abitha Thankaraj, Lerrel Pinto:
Context is Everything: Implicit Identification for Dynamics Adaptation. CoRR abs/2203.05549 (2022) - [i41]Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta:
RB2: Robotic Manipulation Benchmarking with a Twist. CoRR abs/2203.08098 (2022) - [i40]Nur Muhammad Shafiullah, Lerrel Pinto:
One After Another: Learning Incremental Skills for a Changing World. CoRR abs/2203.11176 (2022) - [i39]Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto:
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation. CoRR abs/2203.13251 (2022) - [i38]Nur Muhammad (Mahi) Shafiullah, Zichen Jeff Cui, Ariuntuya Altanzaya, Lerrel Pinto:
Behavior Transformers: Cloning k modes with one stone. CoRR abs/2206.11251 (2022) - [i37]Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto:
Watch and Match: Supercharging Imitation with Regularized Optimal Transport. CoRR abs/2206.15469 (2022) - 2021
- [c31]Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. ICLR 2021 - [c30]Donald Joseph Hejna III, Pieter Abbeel, Lerrel Pinto:
Task-Agnostic Morphology Evolution. ICLR 2021 - [c29]Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. ICLR 2021 - [c28]Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto:
Reinforcement Learning with Prototypical Representations. ICML 2021: 11920-11931 - [c27]Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik:
State-Only Imitation Learning for Dexterous Manipulation. IROS 2021: 7865-7871 - [c26]Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta:
RB2: Robotic Manipulation Benchmarking with a Twist. NeurIPS Datasets and Benchmarks 2021 - [c25]Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel:
URLB: Unsupervised Reinforcement Learning Benchmark. NeurIPS Datasets and Benchmarks 2021 - [i36]Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto:
Reinforcement Learning with Prototypical Representations. CoRR abs/2102.11271 (2021) - [i35]Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto:
Task-Agnostic Morphology Evolution. CoRR abs/2102.13100 (2021) - [i34]Wenyu Han, Chen Feng, Haoran Wu, Alexander Gao, Armand Jordana, Dong Liu, Lerrel Pinto, Ludovic Righetti:
Simultaneous Navigation and Construction Benchmarking Environments. CoRR abs/2103.16732 (2021) - [i33]Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin:
GEM: Group Enhanced Model for Learning Dynamical Control Systems. CoRR abs/2104.02844 (2021) - [i32]Sarah Young, Jyothish Pari, Pieter Abbeel, Lerrel Pinto:
Playful Interactions for Representation Learning. CoRR abs/2107.09046 (2021) - [i31]Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto:
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning. CoRR abs/2107.09645 (2021) - [i30]Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel:
URLB: Unsupervised Reinforcement Learning Benchmark. CoRR abs/2110.15191 (2021) - [i29]Jyothish Pari, Nur Muhammad Shafiullah, Sridhar Pandian Arunachalam, Lerrel Pinto:
The Surprising Effectiveness of Representation Learning for Visual Imitation. CoRR abs/2112.01511 (2021) - 2020
- [c24]Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto:
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation. CoRL 2020: 564-574 - [c23]Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto:
Visual Imitation Made Easy. CoRL 2020: 1992-2005 - [c22]Bryan Chen, Alexander Sax, Francis Lewis, Iro Armeni, Silvio Savarese, Amir Roshan Zamir, Jitendra Malik, Lerrel Pinto:
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRL 2020: 2328-2346 - [c21]Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, Abhinav Gupta:
Discovering Motor Programs by Recomposing Demonstrations. ICLR 2020 - [c20]Donald J. Hejna III, Lerrel Pinto, Pieter Abbeel:
Hierarchically Decoupled Imitation For Morphological Transfer. ICML 2020: 4159-4171 - [c19]Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas:
Reinforcement Learning with Augmented Data. NeurIPS 2020 - [c18]Alexander C. Li, Lerrel Pinto, Pieter Abbeel:
Generalized Hindsight for Reinforcement Learning. NeurIPS 2020 - [c17]Yunzhi Zhang, Pieter Abbeel, Lerrel Pinto:
Automatic Curriculum Learning through Value Disagreement. NeurIPS 2020 - [c16]Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto:
Swoosh! Rattle! Thump! - Actions that Sound. Robotics: Science and Systems 2020 - [c15]Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel:
Learning to Manipulate Deformable Objects without Demonstrations. Robotics: Science and Systems 2020 - [i28]Alexander C. Li, Lerrel Pinto, Pieter Abbeel:
Generalized Hindsight for Reinforcement Learning. CoRR abs/2002.11708 (2020) - [i27]Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto:
Hierarchically Decoupled Imitation for Morphological Transfer. CoRR abs/2003.01709 (2020) - [i26]Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto:
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation. CoRR abs/2003.05436 (2020) - [i25]Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik:
State-Only Imitation Learning for Dexterous Manipulation. CoRR abs/2004.04650 (2020) - [i24]Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas:
Reinforcement Learning with Augmented Data. CoRR abs/2004.14990 (2020) - [i23]Yunzhi Zhang, Pieter Abbeel, Lerrel Pinto:
Automatic Curriculum Learning through Value Disagreement. CoRR abs/2006.09641 (2020) - [i22]Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto:
Swoosh! Rattle! Thump! - Actions that Sound. CoRR abs/2007.01851 (2020) - [i21]Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. CoRR abs/2007.04309 (2020) - [i20]Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto:
Visual Imitation Made Easy. CoRR abs/2008.04899 (2020) - [i19]Bryan Chen, Alexander Sax, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Roshan Zamir, Jitendra Malik, Lerrel Pinto:
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRR abs/2011.06698 (2020) - [i18]Albert Zhan, Philip Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin:
A Framework for Efficient Robotic Manipulation. CoRR abs/2012.07975 (2020) - [i17]Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. CoRR abs/2012.09811 (2020)
2010 – 2019
- 2019
- [b1]Lerrel Pinto:
Data Centric Robot Learning. Carnegie Mellon University, USA, 2019 - [c14]Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta:
Environment Probing Interaction Policies. ICLR (Poster) 2019 - [c13]Jiali Duan, Qian Wang, Lerrel Pinto, C.-C. Jay Kuo
, Stefanos Nikolaidis:
Robot Learning via Human Adversarial Games. IROS 2019: 1056-1063 - [i16]Jiali Duan, Qian Wang, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Robot Learning via Human Adversarial Games. CoRR abs/1903.00636 (2019) - [i15]Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala, Dhiraj Gandhi, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta:
PyRobot: An Open-source Robotics Framework for Research and Benchmarking. CoRR abs/1906.08236 (2019) - [i14]Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta:
Environment Probing Interaction Policies. CoRR abs/1907.11740 (2019) - [i13]Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel:
Learning to Manipulate Deformable Objects without Demonstrations. CoRR abs/1910.13439 (2019) - 2018
- [c12]Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta:
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. CoRL 2018: 906-915 - [c11]Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta:
CASSL: Curriculum Accelerated Self-Supervised Learning. ICRA 2018: 6453-6460 - [c10]Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto:
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias. NeurIPS 2018: 9112-9122 - [c9]Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel:
Asymmetric Actor Critic for Image-Based Robot Learning. Robotics: Science and Systems 2018 - [i12]Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto:
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias. CoRR abs/1807.07049 (2018) - [i11]Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta:
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. CoRR abs/1810.07121 (2018) - [i10]Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha S. Srinivasa:
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. CoRR abs/1810.10654 (2018) - 2017
- [c8]Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta:
Robust Adversarial Reinforcement Learning. ICML 2017: 2817-2826 - [c7]Lerrel Pinto, James Davidson, Abhinav Gupta:
Supervision via competition: Robot adversaries for learning tasks. ICRA 2017: 1601-1608 - [c6]Lerrel Pinto, Abhinav Gupta:
Learning to push by grasping: Using multiple tasks for effective learning. ICRA 2017: 2161-2168 - [c5]Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta:
Learning to fly by crashing. IROS 2017: 3948-3955 - [c4]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS 2017: 1172-1183 - [i9]Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta:
Robust Adversarial Reinforcement Learning. CoRR abs/1703.02702 (2017) - [i8]Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta:
Learning to Fly by Crashing. CoRR abs/1704.05588 (2017) - [i7]Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta:
CASSL: Curriculum Accelerated Self-Supervised Learning. CoRR abs/1708.01354 (2017) - [i6]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR abs/1709.08520 (2017) - [i5]Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel:
Asymmetric Actor Critic for Image-Based Robot Learning. CoRR abs/1710.06542 (2017) - 2016
- [c3]Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park, Abhinav Gupta:
The Curious Robot: Learning Visual Representations via Physical Interactions. ECCV (2) 2016: 3-18 - [c2]Lerrel Pinto, Abhinav Gupta:
Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours. ICRA 2016: 3406-3413 - [c1]Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi, J. Andrew Bagnell:
Improved Learning of Dynamics Models for Control. ISER 2016: 703-713 - [i4]Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park, Abhinav Gupta:
The Curious Robot: Learning Visual Representations via Physical Interactions. CoRR abs/1604.01360 (2016) - [i3]Lerrel Pinto, Abhinav Gupta:
Learning to Push by Grasping: Using multiple tasks for effective learning. CoRR abs/1609.09025 (2016) - [i2]Lerrel Pinto, James Davidson, Abhinav Gupta:
Supervision via Competition: Robot Adversaries for Learning Tasks. CoRR abs/1610.01685 (2016) - 2015
- [i1]Lerrel Pinto, Abhinav Gupta:
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours. CoRR abs/1509.06825 (2015)
Coauthor Index
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