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1801.00690
Cited By
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 / 821 papers shown
Title
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
Jeevan Devaranjan
Amlan Kar
Sanja Fidler
81
89
0
20 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
Aske Plaat
W. Kosters
Mike Preuss
BDL
OffRL
127
17
0
11 Aug 2020
TriFinger: An Open-Source Robot for Learning Dexterity
Manuel Wüthrich
Felix Widmaier
F. Grimminger
J. Akpo
S. Joshi
...
Julian Viereck
M. Naveau
Ludovic Righetti
Bernhard Schölkopf
Stefan Bauer
82
72
0
08 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
Alex Church
John Lloyd
R. Hadsell
Nathan Lepora
80
31
0
06 Aug 2020
Contrastive Variational Reinforcement Learning for Complex Observations
Xiao Ma
Siwei Chen
David Hsu
W. Lee
OffRL
81
23
0
06 Aug 2020
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning
A. Viitala
Rinu Boney
Yi Zhao
Alexander Ilin
Arno Solin
OffRL
57
7
0
03 Aug 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
Masashi Okada
T. Taniguchi
OffRL
116
84
0
29 Jul 2020
Weak Human Preference Supervision For Deep Reinforcement Learning
Zehong Cao
Kaichiu Wong
Chin-Teng Lin
60
5
0
25 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control
Karush Suri
Xiaolong Shi
Konstantinos N. Plataniotis
Y. Lawryshyn
92
4
0
24 Jul 2020
Monte-Carlo Tree Search as Regularized Policy Optimization
Jean-Bastien Grill
Florent Altché
Yunhao Tang
Thomas Hubert
Michal Valko
Ioannis Antonoglou
Rémi Munos
124
75
0
24 Jul 2020
Predictive Information Accelerates Learning in RL
Kuang-Huei Lee
Ian S. Fischer
Anthony Z. Liu
Yijie Guo
Honglak Lee
John F. Canny
S. Guadarrama
127
73
0
24 Jul 2020
Probabilistic Active Meta-Learning
Jean Kaddour
Steindór Sæmundsson
M. Deisenroth
98
35
0
17 Jul 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Amy Zhang
Shagun Sodhani
Khimya Khetarpal
Joelle Pineau
93
5
0
14 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer
Ankesh Anand
Rishab Goel
R. Devon Hjelm
Aaron Courville
Philip Bachman
126
321
0
12 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
119
205
0
09 Jul 2020
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
110
163
0
08 Jul 2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots
M. Lucchi
Friedemann Zindler
Stephan Mühlbacher-Karrer
Horst Pichler
OffRL
86
30
0
06 Jul 2020
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
174
569
0
01 Jul 2020
Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning
Firas Fredj
Yasser F. Al-Eryani
S. Maghsudi
Mohamed Akrout
Ekram Hossain
OffRL
77
29
0
26 Jun 2020
Critic Regularized Regression
Ziyun Wang
Alexander Novikov
Konrad Zolna
Jost Tobias Springenberg
Scott E. Reed
...
Noah Y. Siegel
J. Merel
Çağlar Gülçehre
N. Heess
Nando de Freitas
OffRL
224
333
0
26 Jun 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Çağlar Gülçehre
Ziyun Wang
Alexander Novikov
T. Paine
Sergio Gomez Colmenarejo
...
Matthew W. Hoffman
Ofir Nachum
George Tucker
N. Heess
Nando de Freitas
OffRL
134
72
0
24 Jun 2020
dm_control: Software and Tasks for Continuous Control
Yuval Tassa
S. Tunyasuvunakool
Alistair Muldal
Yotam Doron
Piotr Trochim
...
Steven Bohez
J. Merel
Tom Erez
Timothy Lillicrap
N. Heess
LM&Ro
174
419
0
22 Jun 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
200
481
0
18 Jun 2020
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control
Rika Antonova
Maksim Maydanskiy
Danica Kragic
Sam Devlin
Katja Hofmann
84
9
0
15 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
Sebastian Curi
Felix Berkenkamp
Andreas Krause
132
85
0
15 Jun 2020
Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies
Yunhao Tang
K. Choromanski
OffRL
41
14
0
13 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning
Yunhao Tang
SSL
121
24
0
12 Jun 2020
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Juntang Zhuang
Nicha Dvornek
Xiaoxiao Li
S. Tatikonda
X. Papademetris
James Duncan
BDL
138
112
0
03 Jun 2020
Temporally-Extended ε-Greedy Exploration
Will Dabney
Georg Ostrovski
André Barreto
84
34
0
02 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman
Bobak Shahriari
John Aslanides
Gabriel Barth-Maron
Nikola Momchev
...
Srivatsan Srinivasan
A. Cowie
Ziyun Wang
Bilal Piot
Nando de Freitas
143
226
0
01 Jun 2020
Mutual Information Maximization for Robust Plannable Representations
Yiming Ding
I. Clavera
Pieter Abbeel
62
15
0
16 May 2020
A Distributional View on Multi-Objective Policy Optimization
A. Abdolmaleki
Sandy H. Huang
Leonard Hasenclever
Michael Neunert
H. F. Song
Martina Zambelli
M. Martins
N. Heess
R. Hadsell
Martin Riedmiller
78
76
0
15 May 2020
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
132
413
0
12 May 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning
Rahul Singh
Qinsheng Zhang
Yongxin Chen
OOD
69
44
0
01 May 2020
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
168
661
0
30 Apr 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Z. Guo
Bernardo Avila-Pires
Bilal Piot
Jean-Bastien Grill
Florent Altché
Rémi Munos
M. G. Azar
BDL
DRL
SSL
192
143
0
30 Apr 2020
Actor-Critic Reinforcement Learning for Control with Stability Guarantee
Minghao Han
Lixian Zhang
Jun Wang
Wei Pan
95
113
0
29 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
206
794
0
28 Apr 2020
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning
Guillaume Matheron
Nicolas Perrin
Olivier Sigaud
58
19
0
24 Apr 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
Homanga Bharadhwaj
Kevin Xie
Florian Shkurti
62
50
0
19 Apr 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
Ted Xiao
Eric Jang
Dmitry Kalashnikov
Sergey Levine
Julian Ibarz
Karol Hausman
Alexander Herzog
124
39
0
13 Apr 2020
Energy Shaping Control of a CyberOctopus Soft Arm
Heng-Sheng Chang
Udit Halder
Chia-Hsien Shih
Arman Tekinalp
Tejaswin Parthasarathy
Ekaterina D. Gribkova
Girish Chowdhary
R. Gillette
M. Gazzola
P. Mehta
43
29
0
13 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
168
1,097
0
08 Apr 2020
Model-based actor-critic: GAN (model generator) + DRL (actor-critic) => AGI
Aras R. Dargazany
OffRL
AI4CE
36
1
0
04 Apr 2020
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold
Nir Levine
D. Mankowitz
Jerry Li
Cosmin Paduraru
Sven Gowal
Todd Hester
OffRL
105
125
0
24 Mar 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment
Fanbo Xiang
Yuzhe Qin
Kaichun Mo
Yikuan Xia
Hao Zhu
...
He Wang
Li Yi
Angel X. Chang
Leonidas Guibas
Hao Su
321
514
0
19 Mar 2020
Invariant Causal Prediction for Block MDPs
Amy Zhang
Clare Lyle
Shagun Sodhani
Angelos Filos
Marta Z. Kwiatkowska
Joelle Pineau
Y. Gal
Doina Precup
OffRL
AI4CE
OOD
134
144
0
12 Mar 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
108
191
0
11 Mar 2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
Bohan Wu
Feng Xu
Zhanpeng He
Abhi Gupta
Peter K. Allen
OffRL
173
13
0
10 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer
D. Hejna
Pieter Abbeel
Lerrel Pinto
LM&Ro
77
43
0
03 Mar 2020
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