What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

6 August 2021

Li Fei-Fei

Silvio Savarese

Yuke Zhu

Roberto Martín-Martín

OffRL

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Papers citing "What Matters in Learning from Offline Human Demonstrations for Robot Manipulation"

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Title
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play Irmak Güzey Ben Evans Soumith Chintala Lerrel Pinto 70 65 0 21 Mar 2023
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations Siddhant Haldar Jyothish Pari A. Rai Lerrel Pinto 21 65 0 02 Mar 2023
Preference Transformer: Modeling Human Preferences using Transformers for RL Changyeon Kim Jongjin Park Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee OffRL 30 61 0 02 Mar 2023
Language-Driven Representation Learning for Robotics Siddharth Karamcheti Suraj Nair Annie S. Chen Thomas Kollar Chelsea Finn Dorsa Sadigh Percy Liang LM&Ro SSL 41 145 0 24 Feb 2023
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments Mayank Mittal C. Yu Qinxi Yu Jingzhou Liu Nikita Rudin ... Ajay Mandlekar Buck Babich Gavriel State Marco Hutter Animesh Garg 36 170 0 10 Jan 2023
Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning Yonghao Long Wang Wei Tao Huang Yuehao Wang Qingxu Dou 34 32 0 01 Jan 2023
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen Yixin Lin H. Su Xiaolong Wang Vikash Kumar Aravind Rajeswaran OffRL 29 49 0 12 Dec 2022
OpenD: A Benchmark for Language-Driven Door and Drawer Opening Yizhou Zhao Qiaozi Gao Liang Qiu Govind Thattai Gaurav Sukhatme 26 5 0 10 Dec 2022
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection Shivin Dass Karl Pertsch Hejia Zhang Youngwoon Lee Joseph J. Lim Stefanos Nikolaidis 45 14 0 09 Dec 2022
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning Guoxi Zhang H. Kashima OffRL 21 2 0 29 Nov 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 48 10 0 15 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot Tianli Ding L. Graesser Saminda Abeyruwan David B. DÁmbrosio Anish Shankar P. Sermanet Pannag R. Sanketi Corey Lynch 47 20 0 07 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts Yunfan Jiang Agrim Gupta Zichen Zhang Guanzhi Wang Yongqiang Dou Yanjun Chen Li Fei-Fei Anima Anandkumar Yuke Zhu Linxi Fan LM&Ro 28 335 0 06 Oct 2022
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations Yilun Hao Ruinan Wang Zhangjie Cao Zihan Wang Yuchen Cui Dorsa Sadigh 29 2 0 16 Sep 2022
Offline RL Policies Should be Trained to be Adaptive Dibya Ghosh Anurag Ajay Pulkit Agrawal Sergey Levine OffRL 32 45 0 05 Jul 2022
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies Satvik Sharma Ellen R. Novoseller Vainavi Viswanath Zaynah Javed R. Parikh Ryan Hoque Ashwin Balakrishna Daniel S. Brown Ken Goldberg 21 8 0 02 Jul 2022
VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation Kai Zheng Xiaotong Chen Odest Chadwicke Jenkins Qing Guo LM&Ro CoGe 21 54 0 17 Jun 2022
Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale Ram Ramrakhya Eric Undersander Dhruv Batra Abhishek Das LM&Ro 26 109 0 07 Apr 2022
MetaMorph: Learning Universal Controllers with Transformers Agrim Gupta Linxi Fan Surya Ganguli Li Fei-Fei LM&Ro 11 86 0 22 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 29 44 0 15 Mar 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play Suneel Belkhale Dorsa Sadigh OffRL 22 13 0 10 Mar 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 28 132 0 23 Feb 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 29 4 0 20 Jan 2022
RvS: What is Essential for Offline RL via Supervised Learning? Scott Emmons Benjamin Eysenbach Ilya Kostrikov Sergey Levine OffRL 25 170 0 20 Dec 2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning Sabela Ramos Sertan Girgin Léonard Hussenot Damien Vincent Hanna Yakubovich ... Piotr Stańczyk Raphaël Marinier Jeremiah Harmsen Olivier Pietquin Nikola Momchev OffRL 30 23 0 04 Nov 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 33 23 0 19 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 209 119 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020