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  4. Cited By
DeepMind Control Suite

DeepMind Control Suite

2 January 2018
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
Diego de Las Casas
David Budden
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
    ELMLM&RoBDL
ArXiv (abs)PDFHTMLGithub (4082★)

Papers citing "DeepMind Control Suite"

50 / 821 papers shown
Title
Continuous Control for High-Dimensional State Spaces: An Interactive
  Learning Approach
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
Rodrigo Pérez-Dattari
C. Celemin
Javier Ruiz-del-Solar
Jens Kober
OffRL
31
14
0
14 Aug 2019
Behaviour Suite for Reinforcement Learning
Behaviour Suite for Reinforcement Learning
Ian Osband
Yotam Doron
Matteo Hessel
John Aslanides
Eren Sezener
...
Satinder Singh
Benjamin Van Roy
R. Sutton
David Silver
H. V. Hasselt
OffRL
124
183
0
09 Aug 2019
DoorGym: A Scalable Door Opening Environment And Baseline Agent
DoorGym: A Scalable Door Opening Environment And Baseline Agent
Y. Urakami
Alec Hodgkinson
Casey Carlin
Randall Leu
Luca Rigazio
Pieter Abbeel
OffRL
109
57
0
05 Aug 2019
Google Research Football: A Novel Reinforcement Learning Environment
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
...
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
228
410
0
25 Jul 2019
Arena: a toolkit for Multi-Agent Reinforcement Learning
Arena: a toolkit for Multi-Agent Reinforcement Learning
Qing Wang
Jiechao Xiong
Lei Han
Meng Fang
Xinghai Sun
Zhuobin Zheng
Peng Sun
Zhengyou Zhang
59
4
0
20 Jul 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in
  Multi-view Environments
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments
Elaheh Barati
Xuewen Chen
69
13
0
19 Jul 2019
Accelerating Reinforcement Learning through GPU Atari Emulation
Accelerating Reinforcement Learning through GPU Atari Emulation
Steven Dalton
I. Frosio
M. Garland
ELM
58
9
0
19 Jul 2019
Latent ODEs for Irregularly-Sampled Time Series
Latent ODEs for Irregularly-Sampled Time Series
Yulia Rubanova
Ricky T. Q. Chen
David Duvenaud
BDLAI4TS
102
260
0
08 Jul 2019
Benchmarking Model-Based Reinforcement Learning
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang
Xuchan Bao
I. Clavera
Jerrick Hoang
Yeming Wen
Eric D. Langlois
Matthew Shunshi Zhang
Guodong Zhang
Pieter Abbeel
Jimmy Ba
OffRL
122
365
0
03 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a
  Latent Variable Model
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee
Anusha Nagabandi
Pieter Abbeel
Sergey Levine
OffRLBDL
113
383
0
01 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier
A. Abdolmaleki
Roland Hafner
Jost Tobias Springenberg
Michael Neunert
Tim Hertweck
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
119
27
0
26 Jun 2019
Continual Reinforcement Learning with Diversity Exploration and
  Adversarial Self-Correction
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction
Fengda Zhu
Xiaojun Chang
Runhao Zeng
Mingkui Tan
CLL
52
3
0
21 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control
Unsupervised Learning of Object Keypoints for Perception and Control
Tejas D. Kulkarni
Ankush Gupta
Catalin Ionescu
Sebastian Borgeaud
Malcolm Reynolds
Andrew Zisserman
Volodymyr Mnih
SSLOCL
85
197
0
19 Jun 2019
Unsupervised Learning of Object Structure and Dynamics from Videos
Unsupervised Learning of Object Structure and Dynamics from Videos
Matthias Minderer
Chen Sun
Ruben Villegas
Forrester Cole
Kevin Patrick Murphy
Honglak Lee
120
150
0
19 Jun 2019
Robust Reinforcement Learning for Continuous Control with Model
  Misspecification
Robust Reinforcement Learning for Continuous Control with Model Misspecification
D. Mankowitz
Nir Levine
Rae Jeong
Yuanyuan Shi
Jackie Kay
A. Abdolmaleki
Jost Tobias Springenberg
Timothy A. Mann
Todd Hester
Martin Riedmiller
OOD
135
123
0
18 Jun 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design
Neural Graph Evolution: Towards Efficient Automatic Robot Design
Tingwu Wang
Yuhao Zhou
Sanja Fidler
Jimmy Ba
65
63
0
12 Jun 2019
Learning to Score Behaviors for Guided Policy Optimization
Learning to Score Behaviors for Guided Policy Optimization
Aldo Pacchiano
Jack Parker-Holder
Yunhao Tang
A. Choromańska
K. Choromanski
Michael I. Jordan
96
39
0
11 Jun 2019
Interactive Differentiable Simulation
Interactive Differentiable Simulation
Eric Heiden
David Millard
Hejia Zhang
Gaurav Sukhatme
OODAI4CEPINN
94
50
0
26 May 2019
Arena: A General Evaluation Platform and Building Toolkit for
  Multi-Agent Intelligence
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song
Andrzej Wojcicki
Thomas Lukasiewicz
Jianyi Wang
Abi Aryan
Zhenghua Xu
Mai Xu
Zihan Ding
Lianlong Wu
AI4CEELM
126
34
0
17 May 2019
Meta reinforcement learning as task inference
Meta reinforcement learning as task inference
Jan Humplik
Alexandre Galashov
Leonard Hasenclever
Pedro A. Ortega
Yee Whye Teh
N. Heess
OffRL
129
128
0
15 May 2019
Attention-based Deep Reinforcement Learning for Multi-view Environments
Attention-based Deep Reinforcement Learning for Multi-view Environments
Elaheh Barati
Xuewen Chen
Z. Zhong
86
6
0
10 May 2019
Accelerated Target Updates for Q-learning
Bowen Weng
Huaqing Xiong
Wei Zhang
23
0
0
07 May 2019
Deep Residual Reinforcement Learning
Deep Residual Reinforcement Learning
Shangtong Zhang
Wendelin Bohmer
Shimon Whiteson
91
32
0
03 May 2019
Challenges of Real-World Reinforcement Learning
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold
D. Mankowitz
Todd Hester
OffRL
131
553
0
29 Apr 2019
DAC: The Double Actor-Critic Architecture for Learning Options
DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang
Shimon Whiteson
149
73
0
29 Apr 2019
Baconian: A Unified Open-source Framework for Model-Based Reinforcement
  Learning
Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
Linsen Dong
Guanyu Gao
Xinyi Zhang
Liangyu Chen
Yonggang Wen
45
3
0
23 Apr 2019
Decoupled Data Based Approach for Learning to Control Nonlinear
  Dynamical Systems
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
Ran A. Wang
Karthikeya S. Parunandi
Dan Yu
D. Kalathil
S. Chakravorty
43
12
0
17 Apr 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed
  Behaviors
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors
Fang-I Hsiao
Jui-Hsuan Kuo
Min Sun
OffRL
49
14
0
25 Mar 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically
  Motivated Exploration
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Jingwei Zhang
Niklas Wetzel
Nicolai Dorka
Joschka Boedecker
Wolfram Burgard
67
26
0
18 Mar 2019
MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible
  Reinforcement Learning Experiments
MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments
K. Young
Tian Tian
61
25
0
07 Mar 2019
Model Primitive Hierarchical Lifelong Reinforcement Learning
Model Primitive Hierarchical Lifelong Reinforcement Learning
Bohan Wu
Jayesh K. Gupta
Mykel J. Kochenderfer
OffRL
45
10
0
04 Mar 2019
Verification of Non-Linear Specifications for Neural Networks
Verification of Non-Linear Specifications for Neural Networks
Chongli Qin
Krishnamurthy Dvijotham
Dvijotham
Brendan O'Donoghue
Rudy Bunel
Robert Stanforth
Sven Gowal
J. Uesato
G. Swirszcz
Pushmeet Kohli
AAML
75
44
0
25 Feb 2019
Emergent Coordination Through Competition
Emergent Coordination Through Competition
Siqi Liu
Guy Lever
J. Merel
S. Tunyasuvunakool
N. Heess
T. Graepel
134
151
0
19 Feb 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning
Investigating Generalisation in Continuous Deep Reinforcement Learning
Chenyang Zhao
Olivier Sigaud
F. Stulp
Timothy M. Hospedales
OffRL
94
48
0
19 Feb 2019
Sufficiently Accurate Model Learning
Sufficiently Accurate Model Learning
Clark Zhang
Arbaaz Khan
Santiago Paternain
Alejandro Ribeiro
40
3
0
19 Feb 2019
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater
  Sample Efficiency and Simplicity
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Aditya Bhatt
Daniel Palenicek
Boris Belousov
Max Argus
Artemij Amiranashvili
Thomas Brox
Jan Peters
134
57
0
14 Feb 2019
Value constrained model-free continuous control
Value constrained model-free continuous control
Steven Bohez
A. Abdolmaleki
Michael Neunert
J. Buchli
N. Heess
R. Hadsell
68
63
0
12 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers
TF-Replicator: Distributed Machine Learning for Researchers
P. Buchlovsky
David Budden
Dominik Grewe
Chris Jones
John Aslanides
...
Aidan Clark
Sergio Gomez Colmenarejo
Aedan Pope
Fabio Viola
Dan Belov
GNNOffRLAI4CE
81
20
0
01 Feb 2019
Motion Perception in Reinforcement Learning with Dynamic Objects
Motion Perception in Reinforcement Learning with Dynamic Objects
Artemij Amiranashvili
Alexey Dosovitskiy
V. Koltun
Thomas Brox
74
35
0
10 Jan 2019
Dopamine: A Research Framework for Deep Reinforcement Learning
Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro
Subhodeep Moitra
Carles Gelada
Saurabh Kumar
Marc G. Bellemare
OffRL
91
279
0
14 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
78
72
0
05 Dec 2018
Composing Entropic Policies using Divergence Correction
Composing Entropic Policies using Divergence Correction
Jonathan J. Hunt
André Barreto
Timothy Lillicrap
N. Heess
52
2
0
05 Dec 2018
Rigorous Agent Evaluation: An Adversarial Approach to Uncover
  Catastrophic Failures
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
Junhui Yin
Jiayan Qiu
Csaba Szepesvári
Siqing Zhang
Avraham Ruderman
Jiyang Xie
Krishnamurthy Dvijotham
Zhanyu Ma
N. Heess
Pushmeet Kohli
AAML
107
82
0
04 Dec 2018
CompILE: Compositional Imitation Learning and Execution
CompILE: Compositional Imitation Learning and Execution
Thomas Kipf
Yujia Li
H. Dai
V. Zambaldi
Alvaro Sanchez-Gonzalez
Edward Grefenstette
Pushmeet Kohli
Peter W. Battaglia
VLM
93
14
0
04 Dec 2018
Adversarial Domain Randomization
Adversarial Domain Randomization
Rawal Khirodkar
Kris Kitani
42
5
0
03 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
Steven Hansen
Volodymyr Mnih
DRLOffRLSSL
101
178
0
28 Nov 2018
Hierarchical visuomotor control of humanoids
Hierarchical visuomotor control of humanoids
J. Merel
Arun Ahuja
Vu Pham
S. Tunyasuvunakool
Siqi Liu
Dhruva Tirumala
N. Heess
Greg Wayne
128
97
0
23 Nov 2018
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
200
1,452
0
12 Nov 2018
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Gary Cheng
Kannan Ramchandran
L. Ghaoui
58
24
0
06 Nov 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
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