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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
Augmented Language Models: a Survey
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Grégoire Mialon
Roberto Dessì
Maria Lomeli
Christoforos Nalmpantis
Ramakanth Pasunuru
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Jane Dwivedi-Yu
Asli Celikyilmaz
Edouard Grave
Yann LeCun
Thomas Scialom
LRMKELM
290
487
0
15 Feb 2023
GenAug: Retargeting behaviors to unseen situations via Generative
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GenAug: Retargeting behaviors to unseen situations via Generative Augmentation
Zoey Chen
Sho Kiami
Abhishek Gupta
Vikash Kumar
LM&Ro
217
121
0
13 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World
ALAN: Autonomously Exploring Robotic Agents in the Real WorldIEEE International Conference on Robotics and Automation (ICRA), 2023
Russell Mendonca
Shikhar Bahl
Deepak Pathak
LM&Ro
181
27
0
13 Feb 2023
Statistical Complexity and Optimal Algorithms for Non-linear Ridge
  Bandits
Statistical Complexity and Optimal Algorithms for Non-linear Ridge BanditsAnnals of Statistics (Ann. Stat.), 2023
Nived Rajaraman
Yanjun Han
Jiantao Jiao
Kannan Ramchandran
438
3
0
12 Feb 2023
Robust Representation Learning by Clustering with Bisimulation Metrics
  for Visual Reinforcement Learning with Distractions
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with DistractionsAAAI Conference on Artificial Intelligence (AAAI), 2023
Qiyuan Liu
Qi Zhou
Rui Yang
Jie Wang
OffRLOOD
847
20
0
12 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
SSL
523
13
0
11 Feb 2023
Combining Reconstruction and Contrastive Methods for Multimodal
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Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
P. Becker
Sebastian Mossburger
Fabian Otto
Gerhard Neumann
SSL
273
7
0
10 Feb 2023
Efficient Online Reinforcement Learning with Offline Data
Efficient Online Reinforcement Learning with Offline DataInternational Conference on Machine Learning (ICML), 2023
Philip J. Ball
Laura M. Smith
Ilya Kostrikov
Sergey Levine
OffRLOnRL
530
260
0
06 Feb 2023
Sample Complexity of Kernel-Based Q-Learning
Sample Complexity of Kernel-Based Q-LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Sing-Yuan Yeh
Fu-Chieh Chang
Chang-Wei Yueh
Pei-Yuan Wu
A. Bernacchia
Sattar Vakili
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289
6
0
01 Feb 2023
Revisiting Bellman Errors for Offline Model Selection
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Joshua P. Zitovsky
Daniel de Marchi
Rishabh Agarwal
Michael R. Kosorok University of North Carolina at Chapel Hill
OffRL
272
5
0
31 Jan 2023
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline
  Reinforcement Learning Settings
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning SettingsRobotica (Cambridge. Print) (Robotica), 2023
Sudhir Pratap Yadav
R. Nagar
S. Shah
OffRL
148
4
0
31 Jan 2023
Few-Shot Image-to-Semantics Translation for Policy Transfer in
  Reinforcement Learning
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement LearningIEEE International Joint Conference on Neural Network (IJCNN), 2022
Reimi Sato
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
OffRL
188
0
0
31 Jan 2023
Constrained Policy Optimization with Explicit Behavior Density for
  Offline Reinforcement Learning
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Jing Zhang
Chi Zhang
Wenjia Wang
Bing-Yi Jing
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239
13
0
28 Jan 2023
Learning to Generate All Feasible Actions
Learning to Generate All Feasible ActionsIEEE Access (IEEE Access), 2023
Mirco Theile
Daniele Bernardini
Raphael Trumpp
C. Piazza
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
168
3
0
26 Jan 2023
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via
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NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View SynthesisComputer Vision and Pattern Recognition (CVPR), 2023
Allan Zhou
Moo Jin Kim
Lirui Wang
Peter R. Florence
Chelsea Finn
275
76
0
18 Jan 2023
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNavComputer Vision and Pattern Recognition (CVPR), 2023
Ram Ramrakhya
Dhruv Batra
Erik Wijmans
Abhishek Das
OffRL
430
96
0
18 Jan 2023
Learning from Guided Play: Improving Exploration for Adversarial
  Imitation Learning with Simple Auxiliary Tasks
Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary TasksIEEE Robotics and Automation Letters (RA-L), 2022
Trevor Ablett
Bryan Chan
Jonathan Kelly
416
10
0
30 Dec 2022
Transformer in Transformer as Backbone for Deep Reinforcement Learning
Transformer in Transformer as Backbone for Deep Reinforcement Learning
Hangyu Mao
Rui Zhao
Hao Chen
Jianye Hao
Yiqun Chen
Dong Li
Junge Zhang
Zhen Xiao
OffRL
179
9
0
30 Dec 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement
  Learning
Pre-Trained Image Encoder for Generalizable Visual Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Zhecheng Yuan
Zhengrong Xue
Bo Yuan
Xueqian Wang
Yi Wu
Yang Gao
Huazhe Xu
SSLOffRL
261
93
0
17 Dec 2022
RT-1: Robotics Transformer for Real-World Control at Scale
RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan
Noah Brown
Justice Carbajal
Yevgen Chebotar
Joseph Dabis
...
Ted Xiao
Peng Xu
Sichun Xu
Tianhe Yu
Brianna Zitkovich
LM&Ro
478
1,727
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13 Dec 2022
MIRA: Mental Imagery for Robotic Affordances
MIRA: Mental Imagery for Robotic AffordancesConference on Robot Learning (CoRL), 2022
Lin Yen-Chen
Pete Florence
Andy Zeng
Jonathan T. Barron
Yilun Du
Wei-Chiu Ma
Anthony Simeonov
Alberto Rodriguez Garcia
Phillip Isola
LM&Ro
329
39
0
12 Dec 2022
Confidence-Conditioned Value Functions for Offline Reinforcement
  Learning
Confidence-Conditioned Value Functions for Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
Joey Hong
Aviral Kumar
Sergey Levine
OffRL
252
21
0
08 Dec 2022
VideoDex: Learning Dexterity from Internet Videos
VideoDex: Learning Dexterity from Internet VideosConference on Robot Learning (CoRL), 2022
Kenneth Shaw
Shikhar Bahl
Deepak Pathak
223
132
0
08 Dec 2022
Accelerating Interactive Human-like Manipulation Learning with GPU-based
  Simulation and High-quality Demonstrations
Accelerating Interactive Human-like Manipulation Learning with GPU-based Simulation and High-quality DemonstrationsIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022
Malte Mosbach
Kara Moraw
Sven Behnke
169
18
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05 Dec 2022
Learning Bifunctional Push-grasping Synergistic Strategy for
  Goal-agnostic and Goal-oriented Tasks
Learning Bifunctional Push-grasping Synergistic Strategy for Goal-agnostic and Goal-oriented TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Dafa Ren
Shuang Wu
Xiaofan Wang
Yan Peng
Xiaoqiang Ren
127
12
0
04 Dec 2022
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from
  Demonstrations for Insertion Tasks
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion TasksIFAC-PapersOnLine (IFAC-PapersOnLine), 2022
Zheng Wu
Wenzhao Lian
Changhao Wang
Mengxi Li
S. Schaal
Masayoshi Tomizuka
225
11
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02 Dec 2022
Navigating to Objects in the Real World
Navigating to Objects in the Real WorldScience Robotics (Sci. Robot.), 2022
Théophile Gervet
Soumith Chintala
Dhruv Batra
Jitendra Malik
Devendra Singh Chaplot
252
182
0
02 Dec 2022
Tackling Visual Control via Multi-View Exploration Maximization
Tackling Visual Control via Multi-View Exploration Maximization
Mingqi Yuan
Xin Jin
Bo Li
Wenjun Zeng
155
1
0
28 Nov 2022
A System for Morphology-Task Generalization via Unified Representation
  and Behavior Distillation
A System for Morphology-Task Generalization via Unified Representation and Behavior DistillationInternational Conference on Learning Representations (ICLR), 2022
Hiroki Furuta
Yusuke Iwasawa
Yutaka Matsuo
S. Gu
238
21
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25 Nov 2022
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning
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Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu
Soroush Nasiriany
Lance Zhang
Zhiyao Bao
Yuke Zhu
355
101
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Offline Reinforcement Learning with Adaptive Behavior Regularization
Offline Reinforcement Learning with Adaptive Behavior Regularization
Yunfan Zhou
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Qingyu Qu
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194
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Grasp Learning: Models, Methods, and Performance
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218
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Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
Learning to Grasp the Ungraspable with Emergent Extrinsic DexterityConference on Robot Learning (CoRL), 2022
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David Held
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291
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Offline RL With Realistic Datasets: Heteroskedasticity and Support
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Sergey Levine
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218
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ERL-Re2^22: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy RepresentationInternational Conference on Learning Representations (ICLR), 2022
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Pengyi Li
Hongyao Tang
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197
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Adaptive Behavior Cloning Regularization for Stable Offline-to-Online
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Yi Zhao
Rinu Boney
Alexander Ilin
Arno Solin
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186
44
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Active Exploration for Robotic Manipulation
Active Exploration for Robotic ManipulationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
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Boris Belousov
Georgia Chalvatzaki
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Devesh K. Jha
Jan Peters
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Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
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258
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LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon
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Shuo Cheng
Danfei Xu
338
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Solving Continuous Control via Q-learning
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Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
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236
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STAP: Sequencing Task-Agnostic Policies
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187
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Robotic Table Wiping via Reinforcement Learning and Whole-body
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PI-QT-Opt: Predictive Information Improves Multi-Task Robotic
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Policy Gradient With Serial Markov Chain Reasoning
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