Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

28 September 2017

Aravind Rajeswaran

Vikash Kumar

Abhishek Gupta

Papers citing "Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations"

50 / 255 papers shown

Title
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 78 65 0 01 Feb 2022
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment Mingxin Yu Lin Shao Zhehuan Chen Tianhao Wu Qingnan Fan Kaichun Mo Hao Dong 26 17 0 19 Dec 2021
Probability Density Estimation Based Imitation Learning Yang Liu Yongzhe Chang Shilei Jiang Xueqian Wang Bin Liang Bo Yuan 21 0 0 13 Dec 2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 18 28 0 09 Dec 2021
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft Vinicius G. Goecks Nicholas R. Waytowich David Watkins Bharat Prakash 13 7 0 07 Dec 2021
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving Raphael Chekroun Marin Toromanoff Sascha Hornauer Fabien Moutarde 39 60 0 16 Nov 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning Jinning Li Chen Tang Masayoshi Tomizuka Wei Zhan OffRL 16 21 0 09 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning Wenlong Huang Igor Mordatch Pieter Abbeel Deepak Pathak 43 63 0 04 Nov 2021
A System for General In-Hand Object Re-Orientation Tao Chen Jie Xu Pulkit Agrawal 45 251 0 04 Nov 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 35 23 0 04 Nov 2021
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning Utkarsh Aashu Mishra Soumya R. Samineni Prakhar Goel Chandravaran Kunjeti Himanshu Lodha Aman Singh Aditya Sagi S. Bhatnagar Shishir Kolathaya 27 3 0 04 Nov 2021
Contact Transfer: A Direct, User-Driven Method for Human to Robot Transfer of Grasps and Manipulations A. Lakshmipathy Dominik Bauer C. Bauer N. S. Pollard 18 13 0 29 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL Aarush Gupta 25 0 0 23 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information Jin Li Xianyuan Zhan Zixu Xiao Guyue Zhou OffRL OnRL 27 2 0 21 Oct 2021
Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction Takuma Yagi Md. Tasnimul Hasan Yoichi Sato 22 5 0 19 Oct 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
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 31 38 0 19 Oct 2021
Shaping embodied agent behavior with activity-context priors from egocentric video Tushar Nagarajan Kristen Grauman EgoV LM&Ro 46 13 0 14 Oct 2021
Offline Reinforcement Learning with Soft Behavior Regularization Haoran Xu Xianyuan Zhan Jianxiong Li Honglei Yin OffRL 26 31 0 14 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning Yantian Zha L. Guan Subbarao Kambhampati 26 5 0 11 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach Minghao Li Yingrui Jie Yang Kong Hui Cheng 43 9 0 17 Sep 2021
The Functional Correspondence Problem Zihang Lai Senthil Purushwalkam Abhinav Gupta 38 13 0 02 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 49 369 0 01 Sep 2021
Implicitly Regularized RL with Implicit Q-Values Nino Vieillard Marcin Andrychowicz Anton Raichuk Olivier Pietquin M. Geist OffRL 24 9 0 16 Aug 2021
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos Yuzhe Qin Yueh-hua Wu Shaowei Liu Hanwen Jiang Ruihan Yang Yang Fu Xiaolong Wang 134 190 0 12 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... Chenxi Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 151 157 0 06 Aug 2021
Risk Conditioned Neural Motion Planning Xin Huang Meng Feng A. Jasour Guy Rosman B. Williams 24 6 0 04 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations Tongzhou Mu Z. Ling Fanbo Xiang Derek Yang Xuanlin Li Stone Tao Zhiao Huang Zhiwei Jia Hao Su 39 130 0 30 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 49 0 16 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 33 111 0 07 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 21 27 0 04 Jul 2021
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation Stephen James Kentaro Wada Tristan Laidlow Andrew J. Davison 36 124 0 23 Jun 2021
Offline RL Without Off-Policy Evaluation David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna OffRL 42 162 0 16 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 58 780 0 12 Jun 2021
Offline Reinforcement Learning as Anti-Exploration Shideh Rezaeifar Robert Dadashi Nino Vieillard Léonard Hussenot Olivier Bachem Olivier Pietquin M. Geist OffRL 42 51 0 11 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 42 77 0 01 Jun 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu Shuangfei Zhai Nitish Srivastava J. Susskind Jian Zhang Ruslan Salakhutdinov Hanlin Goh EDL OffRL OnRL 21 184 0 17 May 2021
H2O: A Benchmark for Visual Human-human Object Handover Analysis Ruolin Ye Wenqiang Xu Zhendong Xue Tutian Tang Yanfeng Wang Cewu Lu 23 26 0 23 Apr 2021
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving Jingda Wu Zhiyu Huang Chao Huang Zhongxu Hu Peng Hang Yang Xing Chen Lv 31 40 0 15 Apr 2021
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 35 100 0 30 Mar 2021
Self-Imitation Learning by Planning Junhyuk Oh Yijie Guo Satinder Singh SSL 35 86 0 25 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 34 50 0 23 Mar 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute Wenzhao Lian Chang Su Mel Vecerík Ning Ye S. Schaal Jonathan Scholz OffRL 27 60 0 21 Mar 2021
Human-Inspired Multi-Agent Navigation using Knowledge Distillation Pei Xu Ioannis Karamouzas 27 19 0 18 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 105 0 10 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin M. Geist OffRL 36 40 0 02 Mar 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 37 199 0 15 Dec 2020