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2020 – today
- 2024
[c56]Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto:
Behavior Generation with Latent Actions. ICML 2024- [c55]Raunaq M. Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Lerrel Pinto:
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling. ICML 2024 - [c54]Ulyana Piterbarg, Lerrel Pinto, Rob Fergus:
diff History for Neural Language Agents. ICML 2024 - [c53]Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto:
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. ICML 2024 - [c52]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c51]Irmak Güzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto:
See to Touch: Learning Tactile Dexterity through Visual Incentives. ICRA 2024: 13825-13832 - [i67]Peiqi Liu, Yaswanth Orru, Chris Paxton, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto:
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics. CoRR abs/2401.12202 (2024) - [i66]Raunaq M. Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Lerrel Pinto:
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling. CoRR abs/2402.10211 (2024) - [i65]Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto:
Behavior Generation with Latent Actions. CoRR abs/2403.03181 (2024) - [i64]Aadhithya Iyer, Zhuoran Peng, Yinlong Dai, Irmak Güzey, Siddhant Haldar, Soumith Chintala, Lerrel Pinto:
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation. CoRR abs/2403.07870 (2024) - [i63]Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto:
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. CoRR abs/2406.04318 (2024) - [i62]Siddhant Haldar, Zhuoran Peng, Lerrel Pinto:
BAKU: An Efficient Transformer for Multi-Task Policy Learning. CoRR abs/2406.07539 (2024) - [i61]Haritheja Etukuru, Norihito Naka, Zijin Hu, Seungjae Lee, Julian Mehu, Aaron Edsinger, Chris Paxton, Soumith Chintala, Lerrel Pinto, Nur Muhammad (Mahi) Shafiullah:
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments. CoRR abs/2409.05865 (2024) - [i60]Raunaq M. Bhirangi, Venkatesh Pattabiraman, Enes Erciyes, Yifeng Cao, Tess Lee Hellebrekers, Lerrel Pinto:
AnySkin: Plug-and-play Skin Sensing for Robotic Touch. CoRR abs/2409.08276 (2024) - [i59]Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto:
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control. CoRR abs/2409.12192 (2024) - [i58]Ulyana Piterbarg, Lerrel Pinto, Rob Fergus:
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis. CoRR abs/2410.02749 (2024) - 2023
- [c50]Joey Hejna, Pieter Abbeel, Lerrel Pinto:
Improving Long-Horizon Imitation through Instruction Prediction. AAAI 2023: 7857-7865 - [c49]Abitha Thankaraj, Lerrel Pinto:
That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation. CoRL 2023: 1036-1049 - [c48]Irmak Güzey, Ben Evans, Soumith Chintala, Lerrel Pinto:
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play. CoRL 2023: 3142-3166 - [c47]Zichen Jeff Cui, Yibin Wang, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto:
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data. ICLR 2023 - [c46]Wenyu Han, Haoran Wu, Eisuke Hirota, Alexander Gao, Lerrel Pinto, Ludovic Righetti, Chen Feng:
Learning Simultaneous Navigation and Construction in Grid Worlds. ICLR 2023 - [c45]Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto:
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation. ICRA 2023: 5954-5961 - [c44]Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala, Lerrel Pinto:
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality. ICRA 2023: 5962-5969 - [c43]Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn
, Abhinav Gupta:
Train Offline, Test Online: A Real Robot Learning Benchmark. ICRA 2023: 9197-9203 - [c42]Ulyana Piterbarg, Lerrel Pinto, Rob Fergus:
NetHack is Hard to Hack. NeurIPS 2023 - [c41]Siddhant Haldar, Jyothish Pari, Anant Rai, Lerrel Pinto:
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations. Robotics: Science and Systems 2023 - [c40]Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam:
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. Robotics: Science and Systems 2023 - [i57]Siddhant Haldar, Jyothish Pari, Anant Rai, Lerrel Pinto:
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations. CoRR abs/2303.01497 (2023) - [i56]Irmak Güzey, Ben Evans, Soumith Chintala, Lerrel Pinto:
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play. CoRR abs/2303.12076 (2023) - [i55]Ulyana Piterbarg, Lerrel Pinto, Rob Fergus:
NetHack is Hard to Hack. CoRR abs/2305.19240 (2023) - [i54]Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta:
Train Offline, Test Online: A Real Robot Learning Benchmark. CoRR abs/2306.00942 (2023) - [i53]Joey Hejna, Pieter Abbeel, Lerrel Pinto:
Improving Long-Horizon Imitation Through Instruction Prediction. CoRR abs/2306.12554 (2023) - [i52]Irmak Güzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto:
See to Touch: Learning Tactile Dexterity through Visual Incentives. CoRR abs/2309.12300 (2023) - [i51]Siddhant Haldar, Lerrel Pinto:
PolyTask: Learning Unified Policies through Behavior Distillation. CoRR abs/2310.08573 (2023) - [i50]Nur Muhammad (Mahi) Shafiullah, Anant Rai, Haritheja Etukuru, Yiqian Liu, Ishan Misra, Soumith Chintala, Lerrel Pinto:
On Bringing Robots Home. CoRR abs/2311.16098 (2023) - [i49]Ulyana Piterbarg, Lerrel Pinto, Rob Fergus:
diff History for Long-Context Language Agents. CoRR abs/2312.07540 (2023) - 2022
- [c39]Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto:
Watch and Match: Supercharging Imitation with Regularized Optimal Transport. CoRL 2022: 32-43 - [c38]Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto:
One After Another: Learning Incremental Skills for a Changing World. ICLR 2022 - [c37]Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto:
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning. ICLR 2022 - [c36]Ben Evans, Abitha Thankaraj, Lerrel Pinto:
Context is Everything: Implicit Identification for Dynamics Adaptation. ICRA 2022: 2642-2648 - [c35]Sarah Young, Jyothish Pari, Pieter Abbeel, Lerrel Pinto:
Playful Interactions for Representation Learning. IROS 2022: 992-999 - [c34]Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin:
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. IROS 2022: 4040-4047 - [c33]Nur Muhammad Shafiullah, Zichen Jeff Cui, Ariuntuya Altanzaya, Lerrel Pinto:
Behavior Transformers: Cloning $k$ modes with one stone. NeurIPS 2022 - [c32]Jyothish Pari, Nur Muhammad (Mahi) Shafiullah, Sridhar Pandian Arunachalam, Lerrel Pinto:
The Surprising Effectiveness of Representation Learning for Visual Imitation. Robotics: Science and Systems 2022 - [i48]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) - [i47]Ben Evans, Abitha Thankaraj, Lerrel Pinto:
Context is Everything: Implicit Identification for Dynamics Adaptation. CoRR abs/2203.05549 (2022) - [i46]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) - [i45]Nur Muhammad Shafiullah, Lerrel Pinto:
One After Another: Learning Incremental Skills for a Changing World. CoRR abs/2203.11176 (2022) - [i44]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) - [i43]Nur Muhammad (Mahi) Shafiullah, Zichen Jeff Cui, Ariuntuya Altanzaya, Lerrel Pinto:
Behavior Transformers: Cloning k modes with one stone. CoRR abs/2206.11251 (2022) - [i42]Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto:
Watch and Match: Supercharging Imitation with Regularized Optimal Transport. CoRR abs/2206.15469 (2022) - [i41]Yilei Zeng, Jiali Duan, Yang Li, Emilio Ferrara, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment. CoRR abs/2208.02932 (2022) - [i40]Abitha Thankaraj, Lerrel Pinto:
That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation. CoRR abs/2210.01116 (2022) - [i39]Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam:
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. CoRR abs/2210.05663 (2022) - [i38]Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala, Lerrel Pinto:
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality. CoRR abs/2210.06463 (2022) - [i37]Zichen Jeff Cui, Yibin Wang, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto:
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data. CoRR abs/2210.10047 (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 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 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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