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Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators

16 July 2020

Papers citing "Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators"

30 / 30 papers shown

Title
Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation Ian Chuang Andrew Lee Dechen Gao M-Mahdi Naddaf-Sh Iman Soltani 131 8 0 26 Sep 2024
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,824 0 13 Dec 2019
Object Finding in Cluttered Scenes Using Interactive Perception Tonci Novkovic Remi Pautrat Fadri Furrer Michel Breyer Roland Siegwart Juan I. Nieto 74 66 0 18 Nov 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 116 1,230 0 16 Oct 2019
A Deep Learning Approach to Grasping the Invisible Yang Yang Hengyue Liang Changhyun Choi 67 96 0 11 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 75 98 0 03 Sep 2019
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter Michael Danielczuk Andrey Kurenkov Ashwin Balakrishna Matthew Matl David Wang Roberto Martín-Martín Animesh Garg Silvio Savarese Ken Goldberg 59 114 0 04 Mar 2019
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions Ricson Cheng Arpit Agarwal Katerina Fragkiadaki 59 55 0 20 Nov 2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping Eric Jang Coline Devin Vincent Vanhoucke Sergey Levine SSL 67 114 0 16 Nov 2018
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning F. Ebert Sudeep Dasari Alex X. Lee Sergey Levine Chelsea Finn SSL 55 61 0 06 Oct 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 128 1,467 0 27 Jun 2018
Visual Representations for Semantic Target Driven Navigation Arsalan Mousavian Alexander Toshev Marek Fiser Jana Kosecka Ayzaan Wahid James Davidson 67 201 0 15 May 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments L. Kidzinski Sharada Mohanty Carmichael F. Ong Zhewei Huang Shuchang Zhou ... Sean F. Carroll Jennifer Hicks Sergey Levine M. Salathé Scott L. Delp 86 87 0 02 Apr 2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodriguez Thomas Funkhouser SSL 85 570 0 27 Mar 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine OOD OffRL 66 204 0 28 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 220 1,600 0 05 Feb 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes Igor Adamski R. Adamski T. Grel Adam Jedrych Kamil Kaczmarek Henryk Michalewski OffRL 79 37 0 09 Jan 2018
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 102 347 0 31 Oct 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 92 760 0 27 Oct 2017
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching Andy Zeng Shuran Song Kuan-Ting Yu E. Donlon F. Hogan ... Druck Green Ian H. Taylor Weber Liu Thomas Funkhouser Alberto Rodriguez 71 632 0 03 Oct 2017
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling Qi Meng Wei-neng Chen Yue Wang Zhi-Ming Ma Tie-Yan Liu FedML 47 102 0 29 Sep 2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping Konstantinos Bousmalis A. Irpan Paul Wohlhart Yunfei Bai Matthew Kelcey ... Julian Ibarz P. Pastor K. Konolige Sergey Levine Vincent Vanhoucke OOD 82 655 0 22 Sep 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 253 2,328 0 05 Jul 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,681 0 08 Jun 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 257 2,966 0 20 Mar 2017
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 71 1,524 0 16 Sep 2016
Revisiting Distributed Synchronous SGD Jianmin Chen Xinghao Pan R. Monga Samy Bengio Rafal Jozefowicz 87 800 0 04 Apr 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 162 5,530 0 09 Dec 2015
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 96 503 0 15 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014