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

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

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
ArXivPDFHTML

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

50 / 321 papers shown
Title
Learning Design and Construction with Varying-Sized Materials via
  Prioritized Memory Resets
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
Yunfei Li
Tao Kong
Lei Li
Yi Wu
43
4
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 Pretraining
Qihang Zhang
Zhenghao Peng
Bolei Zhou
SSL
27
37
0
05 Apr 2022
Jump-Start Reinforcement Learning
Jump-Start Reinforcement Learning
Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
...
Chuyuan Fu
Cong Ma
Jiantao Jiao
Sergey Levine
Karol Hausman
OffRL
OnRL
35
109
0
05 Apr 2022
RL4ReAl: Reinforcement Learning for Register Allocation
RL4ReAl: Reinforcement Learning for Register Allocation
S. VenkataKeerthy
Siddhartha Jain
Anilava Kundu
Rohit Aggarwal
Albert Cohen
Ramakrishna Upadrasta
OffRL
36
5
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
29
15
0
04 Apr 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical
  Robots
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots
Yufeng Yuan
Rupam Mahmood
OffRL
28
19
0
23 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands
Vision-Based Manipulators Need to Also See from Their Hands
Kyle Hsu
Moo Jin Kim
Rafael Rafailov
Jiajun Wu
Chelsea Finn
29
44
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 Learning
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Byron David
S. Gu
Satoshi Kataoka
Igor Mordatch
OffRL
27
25
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
34
242
0
11 Mar 2022
Temporal Difference Learning for Model Predictive Control
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen
Xiaolong Wang
H. Su
PINN
MU
36
222
0
09 Mar 2022
On-Robot Learning With Equivariant Models
On-Robot Learning With Equivariant Models
Dian Wang
Ming Jia
Xu Zhu
Robin G. Walters
Robert W. Platt
OffRL
SSL
28
35
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 Indicators
Brijen Thananjeyan
J. Kerr
Huang Huang
Joseph E. Gonzalez
Ken Goldberg
31
9
0
09 Mar 2022
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning
SO(2)\mathrm{SO}(2)SO(2)-Equivariant Reinforcement Learning
Dian Wang
Robin G. Walters
Robert W. Platt
30
78
0
08 Mar 2022
Kubric: A scalable dataset generator
Kubric: A scalable dataset generator
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
...
Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
45
250
0
07 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement
  Learning
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
Hongpeng Cao
Mirco Theile
Federico G. Wyrwal
Marco Caccamo
35
6
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
27
8
0
04 Mar 2022
Task-grasping from human demonstration
Task-grasping from human demonstration
Daichi Saito
Kazuhiro Sasabuchi
Naoki Wake
Jun Takamatsu
Hideki Koike
Katsushi Ikeuchi
24
8
0
01 Mar 2022
Learning Transferable Reward for Query Object Localization with Policy
  Adaptation
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li
Shaobo Han
Martin Renqiang Min
Dimitris N. Metaxas
33
1
0
24 Feb 2022
ReorientBot: Learning Object Reorientation for Specific-Posed Placement
ReorientBot: Learning Object Reorientation for Specific-Posed Placement
Kentaro Wada
Stephen James
Andrew J. Davison
29
29
0
22 Feb 2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for
  Visual Reinforcement Learning
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
Zhecheng Yuan
Guozheng Ma
Yao Mu
Bo Xia
Bo Yuan
Xueqian Wang
Ping Luo
Huazhe Xu
27
28
0
21 Feb 2022
Supported Policy Optimization for Offline Reinforcement Learning
Supported Policy Optimization for Offline Reinforcement Learning
Jialong Wu
Haixu Wu
Zihan Qiu
Jianmin Wang
Mingsheng Long
OffRL
35
64
0
13 Feb 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Maja Franz
Lucas Wolf
Maniraman Periyasamy
Christian Ufrecht
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
Wolfgang Mauerer
26
29
0
10 Feb 2022
Malleable Agents for Re-Configurable Robotic Manipulators
Malleable Agents for Re-Configurable Robotic Manipulators
Athindran Ramesh Kumar
Gurudutt Hosangadi
24
0
0
04 Feb 2022
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Eric Jang
A. Irpan
Mohi Khansari
Daniel Kappler
F. Ebert
Corey Lynch
Sergey Levine
Chelsea Finn
LM&Ro
72
518
0
04 Feb 2022
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from
  Video
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video
Priyanka Mandikal
Kristen Grauman
141
94
0
01 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
140
95
0
28 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in
  Data-Efficient Reinforcement Learning
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang
Jiacheng Wang
Xiao Chen
34
4
0
18 Jan 2022
ValueNetQP: Learned one-step optimal control for legged locomotion
ValueNetQP: Learned one-step optimal control for legged locomotion
Julian Viereck
Avadesh Meduri
Ludovic Righetti
11
8
0
11 Jan 2022
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
Tianhao Wu
Yunchang Yang
Han Zhong
Liwei Wang
S. Du
Jiantao Jiao
50
14
0
21 Dec 2021
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human
  Demonstration
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration
Pengyuan Wang
Fabian Manhardt
Luca Minciullo
Lorenzo Garattoni
Sven Meie
Nassir Navab
Benjamin Busam
34
34
0
06 Dec 2021
Offline Reinforcement Learning: Fundamental Barriers for Value Function
  Approximation
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
Dylan J. Foster
A. Krishnamurthy
D. Simchi-Levi
Yunzong Xu
OffRL
16
62
0
21 Nov 2021
Rearranging the Environment to Maximize Energy with a Robotic Circuit
  Drawing
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing
X. Tan
Zhikang Liu
Chenxiao Yu
A. Rosendo
22
0
0
15 Nov 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Jinning Li
Chen Tang
M. Tomizuka
Wei Zhan
OffRL
13
21
0
09 Nov 2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at
  Scale
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Yao Lu
Karol Hausman
Yevgen Chebotar
Mengyuan Yan
Eric Jang
...
Ted Xiao
A. Irpan
Mohi Khansari
Dmitry Kalashnikov
Sergey Levine
OffRL
89
59
0
09 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee
Laura M. Smith
Anca Dragan
Pieter Abbeel
OffRL
40
93
0
04 Nov 2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation
  Controlled using Deep Reinforcement Learning
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
Sindre Benjamin Remman
Inga Strümke
A. Lekkas
CML
13
7
0
04 Nov 2021
Equivariant $Q$ Learning in Spatial Action Spaces
Equivariant QQQ Learning in Spatial Action Spaces
Dian Wang
Robin G. Walters
Xu Zhu
Robert W. Platt
27
72
0
28 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action
  Primitives
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal
Deepak Pathak
Ruslan Salakhutdinov
32
90
0
28 Oct 2021
D2RLIR : an improved and diversified ranking function in interactive
  recommendation systems based on deep reinforcement learning
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning
Vahid Baghi
Seyed Mohammad Seyed Motehayeri
A. Moeini
R. Abedian
8
1
0
28 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Tung M. Luu
Chang D. Yoo
15
8
0
28 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
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
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement
  Learning and Goal-Aware State Information
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
Continuous Control with Action Quantization from Demonstrations
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
On the Estimation Bias in Double Q-Learning
On the Estimation Bias in Double Q-Learning
Zhizhou Ren
Guangxiang Zhu
Haotian Hu
Beining Han
Jian-Hai Chen
Chongjie Zhang
16
17
0
29 Sep 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised
  Action Planning
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning
Hao-Lun Hsu
Qiuhua Huang
Sehoon Ha
OffRL
42
11
0
29 Sep 2021
Learning Dynamics Models for Model Predictive Agents
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
57
26
0
29 Sep 2021
Simulation-based Bayesian inference for multi-fingered robotic grasping
Simulation-based Bayesian inference for multi-fingered robotic grasping
Norman Marlier
O. Bruls
Gilles Louppe
31
6
0
29 Sep 2021
Lyapunov-stable neural-network control
Lyapunov-stable neural-network control
Hongkai Dai
Benoit Landry
Lujie Yang
Marco Pavone
Russ Tedrake
15
119
0
29 Sep 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain
  Datasets
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
F. Ebert
Yanlai Yang
Karl Schmeckpeper
Bernadette Bucher
G. Georgakis
Kostas Daniilidis
Chelsea Finn
Sergey Levine
169
219
0
27 Sep 2021
CLIPort: What and Where Pathways for Robotic Manipulation
CLIPort: What and Where Pathways for Robotic Manipulation
Mohit Shridhar
Lucas Manuelli
D. Fox
LM&Ro
65
629
0
24 Sep 2021
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