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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic
  Manipulation
v1v2v3 (latest)

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Conference on Robot Learning (CoRL), 2018
27 June 2018
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
Eric Jang
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation"

50 / 941 papers shown
Grasping as Inference: Reactive Grasping in Heavily Cluttered
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Dongwon Son
223
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26 May 2022
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Ni Gao
Jingyu Zhang
Ruijie Chen
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
263
10
0
23 May 2022
Learning Task-relevant Representations for Generalization via
  Characteristic Functions of Reward Sequence Distributions
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence DistributionsKnowledge Discovery and Data Mining (KDD), 2022
Rui Yang
Jie Wang
Zijie Geng
Mingxuan Ye
Shuiwang Ji
Bin Li
Fengli Wu
OOD
299
25
0
20 May 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in
  Latent Space
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent SpaceIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
OffRL
250
40
0
17 May 2022
Accelerating Grasp Learning via Pretraining with Coarse Affordance Maps
  of Objects
Accelerating Grasp Learning via Pretraining with Coarse Affordance Maps of Objects
Yanxu Hou
Jun Li
OnRL
188
0
0
11 May 2022
Robotic Maintenance of Road Infrastructures: The HERON Project
Robotic Maintenance of Road Infrastructures: The HERON ProjectPetra (PETRA), 2022
Iason Katsamenis
M. Bimpas
Eftychios E. Protopapadakis
Charalampos Zafeiropoulos
D. Kalogeras
...
Yannis Handanos
Franziska Schmidt
Lionel Ott
Miquel Cantero
Rafael Lopez
114
27
0
09 May 2022
DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping
DGBench: An Open-Source, Reproducible Benchmark for Dynamic GraspingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Ben Burgess-Limerick
Christopher F. Lehnert
Jurgen Leitner
Peter Corke
145
14
0
29 Apr 2022
Coarse-to-fine Q-attention with Tree Expansion
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Stephen James
Pieter Abbeel
197
11
0
26 Apr 2022
Task-Induced Representation Learning
Task-Induced Representation LearningInternational Conference on Learning Representations (ICLR), 2022
Jun Yamada
Karl Pertsch
Anisha Gunjal
Joseph J. Lim
SSL
166
15
0
25 Apr 2022
Training and Evaluation of Deep Policies using Reinforcement Learning
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Training and Evaluation of Deep Policies using Reinforcement Learning and Generative ModelsJournal of machine learning research (JMLR), 2022
Ali Ghadirzadeh
Petra Poklukar
Karol Arndt
Chelsea Finn
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
180
2
0
18 Apr 2022
CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement
  Learning
CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement LearningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Siddharth Verma
Justin Fu
Mengjiao Yang
Sergey Levine
OffRL
362
51
0
18 Apr 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic
  Control
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic ControlConference on Robot Learning (CoRL), 2022
Shubhankar Agarwal
Sandeep Chinchali
AAML
313
5
0
13 Apr 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral
  Cloning?
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?
Aviral Kumar
Joey Hong
Anika Singh
Sergey Levine
OffRL
284
96
0
12 Apr 2022
Learning Design and Construction with Varying-Sized Materials via
  Prioritized Memory Resets
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory ResetsIEEE International Conference on Robotics and Automation (ICRA), 2022
Yunfei Li
Tao Kong
Lei Li
Yi Wu
247
5
0
12 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned
  Contrastive Policy Pretraining
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy PretrainingEuropean Conference on Computer Vision (ECCV), 2022
Qihang Zhang
Zhenghao Peng
Bolei Zhou
SSL
222
41
0
05 Apr 2022
Jump-Start Reinforcement Learning
Jump-Start Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
...
Chuyuan Fu
Cong Ma
Jiantao Jiao
Sergey Levine
Karol Hausman
OffRLOnRL
317
145
0
05 Apr 2022
Automating Reinforcement Learning with Example-based Resets
Automating Reinforcement Learning with Example-based ResetsIEEE Robotics and Automation Letters (RA-L), 2022
Jigang Kim
Jaehyeon Park
Daesol Cho
H. J. Kim
CLLOnRL
300
17
0
05 Apr 2022
RL4ReAl: Reinforcement Learning for Register Allocation
RL4ReAl: Reinforcement Learning for Register AllocationInternational Conference on Compiler Construction (CC), 2022
S. VenkataKeerthy
Siddhartha Jain
Anilava Kundu
Rohit Aggarwal
Albert Cohen
Ramakrishna Upadrasta
OffRL
327
10
0
05 Apr 2022
Coarse-to-Fine Q-attention with Learned Path Ranking
Coarse-to-Fine Q-attention with Learned Path Ranking
Stephen James
Pieter Abbeel
284
17
0
04 Apr 2022
Efficient and Accurate Candidate Generation for Grasp Pose Detection in
  SE(3)
Efficient and Accurate Candidate Generation for Grasp Pose Detection in SE(3)IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
A. T. Pas
Colin Keil
Robert Platt
131
4
0
03 Apr 2022
Learning High-DOF Reaching-and-Grasping via Dynamic Representation of
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Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object InteractionACM Transactions on Graphics (TOG), 2022
Qijin She
Ruizhen Hu
Juzhan Xu
Min Liu
Kai Xu
Hui Huang
156
96
0
03 Apr 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical
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Asynchronous Reinforcement Learning for Real-Time Control of Physical RobotsIEEE International Conference on Robotics and Automation (ICRA), 2022
Yufeng Yuan
Rupam Mahmood
OffRL
345
24
0
23 Mar 2022
Teachable Reinforcement Learning via Advice Distillation
Teachable Reinforcement Learning via Advice DistillationNeural Information Processing Systems (NeurIPS), 2022
Olivia Watkins
Trevor Darrell
Pieter Abbeel
Jacob Andreas
Abhishek Gupta
OffRL
224
3
0
19 Mar 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for
  Feedback-efficient Preference-based Reinforcement Learning
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
Jongjin Park
Younggyo Seo
Jinwoo Shin
Honglak Lee
Pieter Abbeel
Kimin Lee
171
108
0
18 Mar 2022
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement
  Learning
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning
Satoshi Kataoka
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Igor Mordatch
178
20
0
15 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands
Vision-Based Manipulators Need to Also See from Their HandsInternational Conference on Learning Representations (ICLR), 2022
Kyle Hsu
Moo Jin Kim
Rafael Rafailov
Jiajun Wu
Chelsea Finn
274
57
0
15 Mar 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured
  Reinforcement Learning
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Byron David
S. Gu
Satoshi Kataoka
Igor Mordatch
OffRL
317
31
0
15 Mar 2022
Masked Visual Pre-training for Motor Control
Masked Visual Pre-training for Motor Control
Tete Xiao
Ilija Radosavovic
Trevor Darrell
Jitendra Malik
SSL
346
286
0
11 Mar 2022
Temporal Difference Learning for Model Predictive Control
Temporal Difference Learning for Model Predictive ControlInternational Conference on Machine Learning (ICML), 2022
Nicklas Hansen
Xiaolong Wang
H. Su
PINNMU
394
330
0
09 Mar 2022
Investigation of Factorized Optical Flows as Mid-Level Representations
Investigation of Factorized Optical Flows as Mid-Level RepresentationsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Hsuan-Kung Yang
Tsu-Ching Hsiao
Tingbo Liao
Hsu-Shen Liu
Li-Yuan Tsao
Tzu-Wen Wang
Shan Yang
Yu-Wen Chen
Huang-ru Liao
Chun-Yi Lee
256
3
0
09 Mar 2022
On-Robot Learning With Equivariant Models
On-Robot Learning With Equivariant ModelsConference on Robot Learning (CoRL), 2022
Dian Wang
Ming Jia
Xu Zhu
Robin Walters
Robert Platt
OffRLSSL
466
55
0
09 Mar 2022
All You Need is LUV: Unsupervised Collection of Labeled Images using
  Invisible UV Fluorescent Indicators
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent IndicatorsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Brijen Thananjeyan
Justin Kerr
Huang Huang
Joseph E. Gonzalez
Ken Goldberg
197
15
0
09 Mar 2022
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning
SO(2)\mathrm{SO}(2)SO(2)-Equivariant Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
Dian Wang
Robin Walters
Robert Platt
226
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08 Mar 2022
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from
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Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual DemonstrationsIEEE International Conference on Robotics and Automation (ICRA), 2022
Junchi Liang
Bowen Wen
Kostas Bekris
Abdeslam Boularias
SSL
105
17
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08 Mar 2022
Kubric: A scalable dataset generator
Kubric: A scalable dataset generatorComputer Vision and Pattern Recognition (CVPR), 2022
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
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Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
274
361
0
07 Mar 2022
Self-Supervised Learning for Joint Pushing and Grasping Policies in
  Highly Cluttered Environments
Self-Supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2022
Yongliang Wang
Kamal Mokhtar
C. Heemskerk
Hamidreza Kasaei
SSL
304
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04 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement
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Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Hongpeng Cao
Mirco Theile
Federico G. Wyrwal
Marco Caccamo
297
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0
04 Mar 2022
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning
Tianhao Wu
Fangwei Zhong
Yiran Geng
Hongchen Wang
Yongjian Zhu
Yizhou Wang
Hao Dong
217
17
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04 Mar 2022
Task-grasping from human demonstration
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Daichi Saito
Kazuhiro Sasabuchi
Naoki Wake
Jun Takamatsu
Hideki Koike
Katsushi Ikeuchi
168
8
0
01 Mar 2022
Affordance Learning from Play for Sample-Efficient Policy Learning
Affordance Learning from Play for Sample-Efficient Policy LearningIEEE International Conference on Robotics and Automation (ICRA), 2022
Jessica Borja-Diaz
Oier Mees
Gabriel Kalweit
Lukás Hermann
Joschka Boedecker
Wolfram Burgard
158
45
0
01 Mar 2022
Learning Transferable Reward for Query Object Localization with Policy
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Learning Transferable Reward for Query Object Localization with Policy AdaptationInternational Conference on Learning Representations (ICLR), 2022
Tingfeng Li
Shaobo Han
Martin Renqiang Min
Dimitris N. Metaxas
251
1
0
24 Feb 2022
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
Quantum Deep Reinforcement Learning for Robot Navigation TasksIEEE Access (IEEE Access), 2022
Hans Hohenfeld
D. Heimann
Felix Wiebe
Frank Kirchner
214
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24 Feb 2022
Learning Multi-step Robotic Manipulation Policies from Visual
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Learning Multi-step Robotic Manipulation Policies from Visual Observation of Scene and Q-value Predictions of Previous ActionIEEE International Conference on Robotics and Automation (ICRA), 2022
Sulabh Kumra
Shirin Joshi
F. Sahin
215
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23 Feb 2022
ReorientBot: Learning Object Reorientation for Specific-Posed Placement
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Kentaro Wada
Stephen James
Andrew J. Davison
198
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Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for
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Zhecheng Yuan
Guozheng Ma
Yao Mu
Bo Xia
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Ping Luo
Huazhe Xu
206
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Sample Efficient Grasp Learning Using Equivariant Models
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Xu Zhu
Dian Wang
Ondrej Biza
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Robin Walters
Robert Platt
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315
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Supported Policy Optimization for Offline Reinforcement Learning
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312
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306
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