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

50 / 378 papers shown
Title
Which Mutual-Information Representation Learning Objectives are
  Sufficient for Control?
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
26
39
0
14 Jun 2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online
  Reinforcement Learning
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Tengyang Xie
Nan Jiang
Huan Wang
Caiming Xiong
Yu Bai
OffRL
OnRL
44
162
0
09 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
25
46
0
08 Jun 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Yue Wu
Shuangfei Zhai
Nitish Srivastava
J. Susskind
Jian Zhang
Ruslan Salakhutdinov
Hanlin Goh
EDL
OffRL
OnRL
21
184
0
17 May 2021
Robotic Surgery With Lean Reinforcement Learning
Robotic Surgery With Lean Reinforcement Learning
Yotam Barnoy
Molly O'Brien
Wenjie Wang
Gregory D. Hager
OffRL
43
20
0
03 May 2021
InsertionNet -- A Scalable Solution for Insertion
InsertionNet -- A Scalable Solution for Insertion
Oren Spector
Dotan Di Castro
32
51
0
29 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
47
272
0
16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of
  Robotic Skills
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar
Karol Hausman
Yao Lu
Ted Xiao
Dmitry Kalashnikov
...
A. Irpan
Benjamin Eysenbach
Ryan Julian
Chelsea Finn
Sergey Levine
SSL
OffRL
37
146
0
15 Apr 2021
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via
  Implicit Representations
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Zhenyu Jiang
Yifeng Zhu
Maxwell Svetlik
Kuan Fang
Yuke Zhu
28
139
0
04 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human
  Videos
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen
Suraj Nair
Chelsea Finn
38
137
0
31 Mar 2021
Benchmarks for Deep Off-Policy Evaluation
Benchmarks for Deep Off-Policy Evaluation
Justin Fu
Mohammad Norouzi
Ofir Nachum
George Tucker
Ziyun Wang
...
Yutian Chen
Aviral Kumar
Cosmin Paduraru
Sergey Levine
T. Paine
ELM
OffRL
35
100
0
30 Mar 2021
Visionary: Vision architecture discovery for robot learning
Visionary: Vision architecture discovery for robot learning
Iretiayo Akinola
A. Angelova
Yao Lu
Yevgen Chebotar
Dmitry Kalashnikov
Jacob Varley
Julian Ibarz
Michael S. Ryoo
24
10
0
26 Mar 2021
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
M. Sundermeyer
Arsalan Mousavian
Rudolph Triebel
Dieter Fox
3DPC
24
355
0
25 Mar 2021
Self-Imitation Learning by Planning
Self-Imitation Learning by Planning
Junhyuk Oh
Yijie Guo
Satinder Singh
SSL
35
85
0
25 Mar 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based
  RL
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
Iretiayo Akinola
Zizhao Wang
Peter K. Allen
37
2
0
24 Mar 2021
Lyapunov Barrier Policy Optimization
Lyapunov Barrier Policy Optimization
Harshit S. Sikchi
Wenxuan Zhou
David Held
34
14
0
16 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with
  Curiosity Contrastive Forward Dynamics Model
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen
Tung M. Luu
Thang Vu
Chang D. Yoo
23
17
0
15 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via
  Stored Embeddings
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
Lili Chen
Kimin Lee
A. Srinivas
Pieter Abbeel
OffRL
24
11
0
04 Mar 2021
Training a Resilient Q-Network against Observational Interference
Training a Resilient Q-Network against Observational Interference
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
31
14
0
18 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
222
419
0
16 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous
  Agents via Personalized Simulators
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal
Abdullah Alomar
Varkey Alumootil
Devavrat Shah
Dennis Shen
Zhi Xu
Cindy Yang
OffRL
18
18
0
13 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
16
520
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
Kyunghyun Cho
Martin Riedmiller
OffRL
29
13
0
23 Jan 2021
Memory-Augmented Reinforcement Learning for Image-Goal Navigation
Memory-Augmented Reinforcement Learning for Image-Goal Navigation
Lina Mezghani
Sainbayar Sukhbaatar
Thibaut Lavril
Oleksandr Maksymets
Dhruv Batra
Piotr Bojanowski
Alahari Karteek
32
69
0
13 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
137
101
0
07 Jan 2021
Self-supervised Visual Reinforcement Learning with Object-centric
  Representations
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
SSL
OCL
27
41
0
29 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation
Generalization in Reinforcement Learning by Soft Data Augmentation
Nicklas Hansen
Xiaolong Wang
OffRL
17
168
0
26 Nov 2020
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
Deepali Jain
Atil Iscen
Ken Caluwaerts
29
35
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 Pushing
Zhuo Xu
Wenhao Yu
Alexander Herzog
Wenlong Lu
Chuyuan Fu
Masayoshi Tomizuka
Yunfei Bai
Chenxi Liu
Daniel Ho
OffRL
27
17
0
23 Nov 2020
Distributed Deep Reinforcement Learning: An Overview
Distributed Deep Reinforcement Learning: An Overview
Mohammad Reza Samsami
Hossein Alimadad
OffRL
14
27
0
22 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks
Learning Dense Rewards for Contact-Rich Manipulation Tasks
Zheng Wu
Wenzhao Lian
Vaibhav Unhelkar
Masayoshi Tomizuka
S. Schaal
8
37
0
17 Nov 2020
A Geometric Perspective on Self-Supervised Policy Adaptation
A Geometric Perspective on Self-Supervised Policy Adaptation
Cristian Bodnar
Karol Hausman
Gabriel Dulac-Arnold
Rico Jonschkowski
SSL
44
5
0
14 Nov 2020
Joint Space Control via Deep Reinforcement Learning
Joint Space Control via Deep Reinforcement Learning
Visak C. V. Kumar
David Hoeller
Balakumar Sundaralingam
Jonathan Tremblay
Stan Birchfield
DRL
25
15
0
12 Nov 2020
DIPN: Deep Interaction Prediction Network with Application to Clutter
  Removal
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
Baichuan Huang
Shuai D. Han
Abdeslam Boularias
Jingjin Yu
AI4CE
24
61
0
09 Nov 2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
Daniel Ho
Kanishka Rao
Zhuo Xu
Eric Jang
Mohi Khansari
Yunfei Bai
GAN
LM&Ro
45
97
0
06 Nov 2020
Learning Robot Trajectories subject to Kinematic Joint Constraints
Learning Robot Trajectories subject to Kinematic Joint Constraints
Jonas C. Kiemel
Torsten Kröger
25
7
0
01 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement
  Learning
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh
Albert Yu
Jonathan Yang
Jesse Zhang
Aviral Kumar
Sergey Levine
SSL
OffRL
OnRL
35
103
0
27 Oct 2020
High Acceleration Reinforcement Learning for Real-World Juggling with
  Binary Rewards
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Kai Ploeger
M. Lutter
Jan Peters
22
29
0
26 Oct 2020
How to Make Deep RL Work in Practice
How to Make Deep RL Work in Practice
Nirnai Rao
Elie Aljalbout
Axel Sauer
Sami Haddadin
OffRL
29
11
0
25 Oct 2020
EpidemiOptim: A Toolbox for the Optimization of Control Policies in
  Epidemiological Models
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
Cédric Colas
B. Hejblum
S. Rouillon
R. Thiébaut
Pierre-Yves Oudeyer
Clément Moulin-Frier
M. Prague
24
22
0
09 Oct 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent
  Control
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Qingrui Zhang
Hao Dong
Wei Pan
29
6
0
20 Sep 2020
GRAC: Self-Guided and Self-Regularized Actor-Critic
GRAC: Self-Guided and Self-Regularized Actor-Critic
Lin Shao
Yifan You
Mengyuan Yan
Qingyun Sun
Jeannette Bohg
29
23
0
18 Sep 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
288
341
0
14 Sep 2020
Learning Dexterous Grasping with Object-Centric Visual Affordances
Learning Dexterous Grasping with Object-Centric Visual Affordances
Priyanka Mandikal
Kristen Grauman
30
136
0
03 Sep 2020
Grasp-type Recognition Leveraging Object Affordance
Grasp-type Recognition Leveraging Object Affordance
Naoki Wake
Kazuhiro Sasabuchi
Katsushi Ikeuchi
28
15
0
26 Aug 2020
Learning Off-Policy with Online Planning
Learning Off-Policy with Online Planning
Harshit S. Sikchi
Wenxuan Zhou
David Held
OffRL
37
46
0
23 Aug 2020
The Importance and the Limitations of Sim2Real for Robotic Manipulation
  in Precision Agriculture
The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture
Carlo Rizzardo
S. Katyara
Miguel Fernandes
Fei Chen
19
6
0
10 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning
  and generative models
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
44
9
0
26 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control
Maximum Mutation Reinforcement Learning for Scalable Control
Karush Suri
Xiaolong Shi
Konstantinos N. Plataniotis
Y. Lawryshyn
25
4
0
24 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep
  Reinforcement Learning
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
25
199
0
09 Jul 2020
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