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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
Learning to Manipulate Amorphous Materials
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Wenhao Yu
Chenxi Liu
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159
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Reinforcement Learning Control of a Forestry Crane Manipulator
Reinforcement Learning Control of a Forestry Crane ManipulatorIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Jennifer Andersson
K. Bodin
Daniel M. Lindmark
Martin Servin
Erik Wallin
119
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0
03 Mar 2021
Learning Robotic Manipulation Tasks via Task Progress based Gaussian
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Learning Robotic Manipulation Tasks via Task Progress based Gaussian Reward and Loss Adjusted ExplorationIEEE Robotics and Automation Letters (RA-L), 2021
Sulabh Kumra
Shirin Joshi
F. Sahin
216
16
0
02 Mar 2021
Sample Complexity and Overparameterization Bounds for Temporal
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Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network ApproximationIEEE Transactions on Automatic Control (IEEE TAC), 2021
Semih Cayci
Siddhartha Satpathi
Niao He
F. I. R. Srikant
188
11
0
02 Mar 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using
  Successor Features and Inverse Temporal Difference Learning
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference LearningInternational Conference on Machine Learning (ICML), 2021
Angelos Filos
Clare Lyle
Y. Gal
Sergey Levine
Natasha Jaques
Gregory Farquhar
198
27
0
24 Feb 2021
Memory-based Deep Reinforcement Learning for POMDPs
Memory-based Deep Reinforcement Learning for POMDPsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Lingheng Meng
R. Gorbet
Dana Kulic
386
122
0
24 Feb 2021
Training a Resilient Q-Network against Observational Interference
Training a Resilient Q-Network against Observational InterferenceAAAI Conference on Artificial Intelligence (AAAI), 2021
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
222
17
0
18 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy OptimizationNeural Information Processing Systems (NeurIPS), 2021
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
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633
477
0
16 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous
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PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized SimulatorsNeural Information Processing Systems (NeurIPS), 2021
Anish Agarwal
Abdullah Alomar
Varkey Alumootil
Devavrat Shah
Dennis Shen
Zhi Xu
Cindy Yang
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190
20
0
13 Feb 2021
Personalization for Web-based Services using Offline Reinforcement
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Personalization for Web-based Services using Offline Reinforcement LearningMachine-mediated learning (ML), 2021
P. Apostolopoulos
Zehui Wang
Hanson Wang
Chad Zhou
Kittipat Virochsiri
Norm Zhou
Igor L. Markov
OffRLOnRL
175
7
0
10 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes
Transfer Reinforcement Learning across Homotopy ClassesIEEE Robotics and Automation Letters (RA-L), 2021
Zhangjie Cao
Minae Kwon
Dorsa Sadigh
143
20
0
10 Feb 2021
Unlocking Pixels for Reinforcement Learning via Implicit Attention
Unlocking Pixels for Reinforcement Learning via Implicit Attention
K. Choromanski
Deepali Jain
Wenhao Yu
Xingyou Song
Jack Parker-Holder
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Aldo Pacchiano
Anirban Santara
Yunhao Tang
Jie Tan
Adrian Weller
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256
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0
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AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained
  Autonomous UAVs
AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs
Srivatsan Krishnan
Zishen Wan
K. Bharadwaj
P. Whatmough
Aleksandra Faust
Sabrina M. Neuman
Gu-Yeon Wei
David Brooks
Vijay Janapa Reddi
178
3
0
05 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
299
619
0
04 Feb 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient
  Reinforcement Learning
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning
William F. Whitney
Michael Bloesch
Jost Tobias Springenberg
A. Abdolmaleki
Dong Wang
Martin Riedmiller
OffRL
233
17
0
23 Jan 2021
Memory-Augmented Reinforcement Learning for Image-Goal Navigation
Memory-Augmented Reinforcement Learning for Image-Goal NavigationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Lina Mezghani
Sainbayar Sukhbaatar
Thibaut Lavril
Oleksandr Maksymets
Dhruv Batra
Piotr Bojanowski
Alahari Karteek
436
89
0
13 Jan 2021
Transferring Experience from Simulation to the Real World for Precise
  Pick-And-Place Tasks in Highly Cluttered Scenes
Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered ScenesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Kilian Kleeberger
Markus Völk
Marius Moosmann
Erik Thiessenhusen
Florian Roth
Richard Bormann
Marco F. Huber
129
14
0
12 Jan 2021
The Distracting Control Suite -- A Challenging Benchmark for
  Reinforcement Learning from Pixels
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
Austin Stone
Oscar Ramirez
K. Konolige
Rico Jonschkowski
315
108
0
07 Jan 2021
Disentangled Planning and Control in Vision Based Robotics via Reward
  Machines
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Alberto Camacho
Jacob Varley
Deepali Jain
Atil Iscen
Dmitry Kalashnikov
92
7
0
28 Dec 2020
Learning Visual Robotic Control Efficiently with Contrastive
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Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data AugmentationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Albert Zhan
Philip Zhao
Lerrel Pinto
Pieter Abbeel
Michael Laskin
SSLDRL
199
27
0
14 Dec 2020
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep
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Aleksei Gonnochenko
A. Semochkin
D. Egorov
Dmitrii Statovoy
S. Zabihifar
A. Postnikov
E. Seliverstova
Ali Zaidi
J. Stemmler
K. Limkrailassiri
75
0
0
02 Dec 2020
Continuous Transition: Improving Sample Efficiency for Continuous
  Control Problems via MixUp
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUpIEEE International Conference on Robotics and Automation (ICRA), 2020
Junfan Lin
Zhongzhan Huang
Keze Wang
Xiaodan Liang
Weiwei Chen
Liang Lin
151
12
0
30 Nov 2020
Self-supervised Visual Reinforcement Learning with Object-centric
  Representations
Self-supervised Visual Reinforcement Learning with Object-centric RepresentationsInternational Conference on Learning Representations (ICLR), 2020
Antonios Tragoudaras
Maximilian Seitzer
Georg Martius
SSLOCL
221
47
0
29 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation
Generalization in Reinforcement Learning by Soft Data AugmentationIEEE International Conference on Robotics and Automation (ICRA), 2020
Nicklas Hansen
Xiaolong Wang
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304
212
0
26 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with
  Base Controllers
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base ControllersIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Guangming Wang
Minjian Xin
Wenhua Wu
Yanfeng Guo
Hesheng Wang
OffRL
129
26
0
24 Nov 2020
Learning Principle of Least Action with Reinforcement Learning
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Zehao Jin
J. Lin
Siao-Fong Li
115
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24 Nov 2020
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
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Deepali Jain
Atil Iscen
Ken Caluwaerts
198
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0
23 Nov 2020
COCOI: Contact-aware Online Context Inference for Generalizable
  Non-planar Pushing
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar PushingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Zhuo Xu
Wenhao Yu
Alexander Herzog
Wenlong Lu
Chuyuan Fu
Masayoshi Tomizuka
Yunfei Bai
Chenxi Liu
Daniel Ho
OffRL
186
18
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Distributed Deep Reinforcement Learning: An Overview
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Hossein Alimadad
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78
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Learning Dense Rewards for Contact-Rich Manipulation Tasks
Learning Dense Rewards for Contact-Rich Manipulation TasksIEEE International Conference on Robotics and Automation (ICRA), 2020
Zheng Wu
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282
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ACDER: Augmented Curiosity-Driven Experience Replay
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A Geometric Perspective on Self-Supervised Policy Adaptation
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Same Object, Different Grasps: Data and Semantic Knowledge for
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Adithyavairavan Murali
Weiyu Liu
Kenneth Marino
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Joint Space Control via Deep Reinforcement Learning
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Improving Robotic Grasping on Monocular Images Via Multi-Task Learning
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