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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
    ELM
    LM&Ro
    BDL
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Papers citing "DeepMind Control Suite"

50 / 791 papers shown
Title
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement
  Learning
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
Diego Ferigo
Silvio Traversaro
Giorgio Metta
Daniele Pucci
37
26
0
05 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation
  with Sim2Real Reinforcement Learning
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji
S. Mallya
Sahika Genc
Saurabh Gupta
Leo Dirac
...
Yunzhe Tao
Brian Townsend
E. Calleja
Sunil Muralidhara
Dhanasekar Karuppasamy
26
56
0
05 Nov 2019
Positive-Unlabeled Reward Learning
Positive-Unlabeled Reward Learning
Danfei Xu
Misha Denil
26
38
0
01 Nov 2019
Learning to Manipulate Deformable Objects without Demonstrations
Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu
Wilson Yan
Thanard Kurutach
Lerrel Pinto
Pieter Abbeel
OffRL
31
199
0
29 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
103
1,132
0
24 Oct 2019
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
Rae Jeong
Y. Aytar
D. Khosid
Yuxiang Zhou
Jackie Kay
Thomas Lampe
Konstantinos Bousmalis
F. Nori
SSL
18
57
0
21 Oct 2019
Receding Horizon Curiosity
Receding Horizon Curiosity
M. Schultheis
Boris Belousov
Hany Abdulsamad
Jan Peters
25
15
0
08 Oct 2019
Learning Calibratable Policies using Programmatic Style-Consistency
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan
Albert Tseng
Yisong Yue
Adith Swaminathan
Matthew J. Hausknecht
17
18
0
02 Oct 2019
QuaRL: Quantization for Fast and Environmentally Sustainable
  Reinforcement Learning
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
Srivatsan Krishnan
Maximilian Lam
Sharad Chitlangia
Zishen Wan
Gabriel Barth-Maron
Aleksandra Faust
Vijay Janapa Reddi
MQ
29
23
0
02 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from
  Images
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
DRL
65
441
0
02 Oct 2019
Augmenting learning using symmetry in a biologically-inspired domain
Augmenting learning using symmetry in a biologically-inspired domain
Shruti Mishra
A. Abdolmaleki
A. Guez
Piotr Trochim
Doina Precup
30
8
0
01 Oct 2019
The Differentiable Cross-Entropy Method
The Differentiable Cross-Entropy Method
Brandon Amos
Denis Yarats
34
54
0
27 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSL
VLM
OffRL
57
532
0
26 Sep 2019
Harnessing Structures for Value-Based Planning and Reinforcement
  Learning
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Yuzhe Yang
Guo Zhang
Zhi Xu
Dina Katabi
OffRL
27
31
0
26 Sep 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete
  and Continuous Control
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
H. F. Song
A. Abdolmaleki
Jost Tobias Springenberg
Aidan Clark
Hubert Soyer
...
Dhruva Tirumala
N. Heess
Dan Belov
Martin Riedmiller
M. Botvinick
37
121
0
26 Sep 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn
Henry Zhu
Kristian Hartikainen
Hugo Ponte
Abhishek Gupta
Sergey Levine
Vikash Kumar
32
126
0
25 Sep 2019
Visualizing Movement Control Optimization Landscapes
Visualizing Movement Control Optimization Landscapes
Perttu Hämäläinen
Juuso Toikka
Amin Babadi
Karen Liu
27
7
0
17 Sep 2019
State Representation Learning from Demonstration
State Representation Learning from Demonstration
Astrid Merckling
Michael Pearce
Loic Cressot
Stéphane Doncieux
Matthias Poloczek
OffRL
18
8
0
15 Sep 2019
Exploration-Enhanced POLITEX
Exploration-Enhanced POLITEX
Yasin Abbasi-Yadkori
N. Lazić
Csaba Szepesvári
Gellert Weisz
19
23
0
27 Aug 2019
Dynamics-aware Embeddings
Dynamics-aware Embeddings
William F. Whitney
Rajat Agarwal
Kyunghyun Cho
Abhinav Gupta
SSL
25
53
0
25 Aug 2019
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
8
13
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
32
178
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
24
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
54
398
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
39
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
19
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
27
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
BDL
AI4TS
31
252
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
31
359
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
OffRL
BDL
36
372
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
30
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
16
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
SSL
OCL
14
193
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
27
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
14
118
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
28
61
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
27
38
0
11 Jun 2019
Interactive Differentiable Simulation
Interactive Differentiable Simulation
Eric Heiden
David Millard
Hejia Zhang
Gaurav Sukhatme
OOD
AI4CE
PINN
8
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
AI4CE
ELM
27
33
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
35
127
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
30
6
0
10 May 2019
Accelerated Target Updates for Q-learning
Bowen Weng
Huaqing Xiong
Wei Zhang
11
0
0
07 May 2019
Deep Residual Reinforcement Learning
Deep Residual Reinforcement Learning
Shangtong Zhang
Wendelin Bohmer
Shimon Whiteson
9
31
0
03 May 2019
Challenges of Real-World Reinforcement Learning
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold
D. Mankowitz
Todd Hester
OffRL
37
543
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
30
72
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
6
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
23
11
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
21
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
19
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
18
24
0
07 Mar 2019
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