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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"

28 / 378 papers shown
Title
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
21
202
0
22 Jul 2019
Data Efficient Reinforcement Learning for Legged Robots
Data Efficient Reinforcement Learning for Legged Robots
Yuxiang Yang
Ken Caluwaerts
Atil Iscen
Tingnan Zhang
Jie Tan
Vikas Sindhwani
30
139
0
08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
41
356
0
06 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
24
248
0
29 Jun 2019
Training an Interactive Helper
Training an Interactive Helper
Mark P. Woodward
Chelsea Finn
Karol Hausman
27
1
0
24 Jun 2019
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial
  Robot Visual Navigation
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation
Srivatsan Krishnan
Behzad Boroujerdian
William Fu
Aleksandra Faust
Vijay Janapa Reddi
16
36
0
02 Jun 2019
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Arsalan Mousavian
Clemens Eppner
Dieter Fox
3DPC
42
559
0
25 May 2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic
  Learning
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning
Brian Yang
Jesse Zhang
Vitchyr H. Pong
Sergey Levine
Dinesh Jayaraman
27
37
0
17 May 2019
Learning Manipulation Skills Via Hierarchical Spatial Attention
Learning Manipulation Skills Via Hierarchical Spatial Attention
Marcus Gualtieri
Robert W. Platt
30
13
0
19 Apr 2019
Bayesian policy selection using active inference
Bayesian policy selection using active inference
Ozan Çatal
J. Nauta
Tim Verbelen
Pieter Simoens
Bart Dhoedt
BDL
46
32
0
17 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
OffRL
46
266
0
16 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic
  Grasping
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping
Mengyuan Yan
A. Li
Mrinal Kalakrishnan
P. Pastor
15
18
0
15 Apr 2019
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a
  Planner
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner
Tarik Tosun
E. Mitchell
Ben Eisner
Jinwook Huh
Bhoram Lee
Daewon Lee
Volkan Isler
H. S. Seung
Daniel D. Lee
21
11
0
05 Apr 2019
Autoregressive Policies for Continuous Control Deep Reinforcement
  Learning
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
D. Korenkevych
A. R. Mahmood
Gautham Vasan
James Bergstra
29
28
0
27 Mar 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
Riley Simmons-Edler
Ben Eisner
E. Mitchell
Sebastian Seung
Daniel D. Lee
44
28
0
25 Mar 2019
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
Lucas Manuelli
Wei Gao
Peter R. Florence
Russ Tedrake
50
254
0
15 Mar 2019
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered
  Scenes
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
Bohan Wu
Iretiayo Akinola
Peter K. Allen
22
34
0
08 Mar 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms
Diagnosing Bottlenecks in Deep Q-learning Algorithms
Justin Fu
Aviral Kumar
Matthew Soh
Sergey Levine
OffRL
19
141
0
26 Feb 2019
Lyapunov-based Safe Policy Optimization for Continuous Control
Lyapunov-based Safe Policy Optimization for Continuous Control
Yinlam Chow
Ofir Nachum
Aleksandra Faust
Edgar A. Duénez-Guzmán
Mohammad Ghavamzadeh
33
244
0
28 Jan 2019
GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control
  in Autonomous Driving
GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control in Autonomous Driving
Bogdan Trasnea
Andrei Vasilcoi
C. Pozna
Sorin Grigorescu
14
9
0
16 Jan 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via
  Randomized-to-Canonical Adaptation Networks
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
46
444
0
18 Dec 2018
Residual Policy Learning
Residual Policy Learning
Tom Silver
Kelsey R. Allen
J. Tenenbaum
L. Kaelbling
OffRL
26
173
0
15 Dec 2018
Relative Entropy Regularized Policy Iteration
Relative Entropy Regularized Policy Iteration
A. Abdolmaleki
Jost Tobias Springenberg
Jonas Degrave
Steven Bohez
Yuval Tassa
Dan Belov
N. Heess
Martin Riedmiller
27
72
0
05 Dec 2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Eric Jang
Coline Devin
Vincent Vanhoucke
Sergey Levine
SSL
29
112
0
16 Nov 2018
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through
  Imitation
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Mehdi Letafati
Yuke Zhu
Animesh Garg
Jonathan Booher
Max Spero
...
John Emmons
Anchit Gupta
Emre Orbay
Silvio Savarese
Li Fei-Fei
OffRL
48
284
0
07 Nov 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with
  Real World Experience
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar
Ankur Handa
Viktor Makoviychuk
Miles Macklin
J. Issac
Nathan D. Ratliff
Dieter Fox
10
500
0
12 Oct 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
47
1,857
0
01 Aug 2018
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
603
0
22 Sep 2016
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