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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
Re-assign community
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Papers citing
"DeepMind Control Suite"
50 / 821 papers shown
Title
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
363
948
0
02 Mar 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
Masashi Okada
Norio Kosaka
T. Taniguchi
68
43
0
01 Mar 2020
Human-like Planning for Reaching in Cluttered Environments
Mohamed Hasan
Matthew Warburton
Wisdom C. Agboh
M. Dogar
Matteo Leonetti
He Wang
F. Mushtaq
M. Mon-Williams
Anthony G. Cohn
55
14
0
28 Feb 2020
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image
Tae Won Kim
Yeseong Park
Youngbin Park
I. Suh
DRL
OffRL
55
9
0
27 Feb 2020
Using a thousand optimization tasks to learn hyperparameter search strategies
Luke Metz
Niru Maheswaranathan
Ruoxi Sun
C. Freeman
Ben Poole
Jascha Narain Sohl-Dickstein
129
46
0
27 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
73
87
0
25 Feb 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Ruizhi Deng
B. Chang
Marcus A. Brubaker
Greg Mori
Andreas M. Lehrmann
104
52
0
24 Feb 2020
On the Search for Feedback in Reinforcement Learning
Ran A. Wang
Karthikeya S. Parunandi
Aayushman Sharma
R. Goyal
S. Chakravorty
63
9
0
21 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Noah Y. Siegel
Jost Tobias Springenberg
Felix Berkenkamp
A. Abdolmaleki
Michael Neunert
Thomas Lampe
Roland Hafner
Nicolas Heess
Martin Riedmiller
OffRL
82
283
0
19 Feb 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
Tianpei Yang
Jianye Hao
Zhaopeng Meng
Zongzhang Zhang
Yujing Hu
...
Changjie Fan
Weixun Wang
Wulong Liu
Zhaodong Wang
J. Peng
OffRL
89
12
0
19 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning
Sammy Christen
Lukás Jendele
Emre Aksan
Otmar Hilliges
OffRL
78
25
0
14 Feb 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning
Ryogo Okumura
Masashi Okada
T. Taniguchi
77
12
0
31 Jan 2020
Q-Learning in enormous action spaces via amortized approximate maximization
T. Wiele
David Warde-Farley
A. Mnih
Volodymyr Mnih
78
60
0
22 Jan 2020
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics
David Millard
Eric Heiden
Shubham Agrawal
Gaurav Sukhatme
AI4CE
77
13
0
22 Jan 2020
Lyceum: An efficient and scalable ecosystem for robot learning
Colin Summers
Kendall Lowrey
Aravind Rajeswaran
S. Srinivasa
E. Todorov
88
19
0
21 Jan 2020
Sample-based Distributional Policy Gradient
Rahul Singh
Keuntaek Lee
Yongxin Chen
69
19
0
08 Jan 2020
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware
Kirill Polzounov
R. Sundar
L. Redden
38
10
0
07 Jan 2020
MushroomRL: Simplifying Reinforcement Learning Research
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
OffRL
55
85
0
04 Jan 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
Michael Neunert
A. Abdolmaleki
Markus Wulfmeier
Thomas Lampe
Jost Tobias Springenberg
Roland Hafner
Francesco Romano
J. Buchli
N. Heess
Martin Riedmiller
85
92
0
02 Jan 2020
Information Theoretic Model Predictive Q-Learning
M. Bhardwaj
Ankur Handa
Dieter Fox
Byron Boots
80
23
0
31 Dec 2019
Learning to grow: control of material self-assembly using evolutionary reinforcement learning
S. Whitelam
Isaac Tamblyn
53
34
0
18 Dec 2019
Parareal with a Learned Coarse Model for Robotic Manipulation
Wisdom C. Agboh
Oliver Grainger
Daniel Ruprecht
M. Dogar
95
12
0
12 Dec 2019
Learning Latent State Spaces for Planning through Reward Prediction
Aaron J. Havens
Ouyang Yi
P. Nagarajan
Yasuhiro Fujita
43
7
0
09 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
235
1,378
0
03 Dec 2019
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
Michael Luo
Jiahao Yao
Richard Liaw
Eric Liang
Ion Stoica
80
15
0
30 Nov 2019
Attention-Privileged Reinforcement Learning
Sasha Salter
Dushyant Rao
Markus Wulfmeier
R. Hadsell
Ingmar Posner
104
8
0
19 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Youngwoon Lee
E. Hu
Zhengyu Yang
Alexander Yin
Joseph J. Lim
105
124
0
17 Nov 2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
K. Luck
Mel Vecerík
Simon Stepputtis
H. B. Amor
Jonathan Scholz
39
11
0
15 Nov 2019
Catch & Carry: Reusable Neural Controllers for Vision-Guided Whole-Body Tasks
J. Merel
S. Tunyasuvunakool
Arun Ahuja
Yuval Tassa
Leonard Hasenclever
Vu Pham
Tom Erez
Greg Wayne
N. Heess
81
9
0
15 Nov 2019
Quinoa: a Q-function You Infer Normalized Over Actions
Jonas Degrave
A. Abdolmaleki
Jost Tobias Springenberg
N. Heess
Martin Riedmiller
42
5
0
05 Nov 2019
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
Diego Ferigo
Silvio Traversaro
Giorgio Metta
Daniele Pucci
79
26
0
05 Nov 2019
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
80
57
0
05 Nov 2019
Positive-Unlabeled Reward Learning
Danfei Xu
Misha Denil
86
38
0
01 Nov 2019
Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu
Wilson Yan
Thanard Kurutach
Lerrel Pinto
Pieter Abbeel
OffRL
78
202
0
29 Oct 2019
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
340
1,182
0
24 Oct 2019
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
50
58
0
21 Oct 2019
Receding Horizon Curiosity
M. Schultheis
Boris Belousov
Hany Abdulsamad
Jan Peters
75
15
0
08 Oct 2019
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan
Albert Tseng
Yisong Yue
Adith Swaminathan
Matthew J. Hausknecht
81
18
0
02 Oct 2019
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
46
26
0
02 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
DRL
141
450
0
02 Oct 2019
Augmenting learning using symmetry in a biologically-inspired domain
Shruti Mishra
A. Abdolmaleki
A. Guez
Piotr Trochim
Doina Precup
74
8
0
01 Oct 2019
The Differentiable Cross-Entropy Method
Brandon Amos
Denis Yarats
133
54
0
27 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSL
VLM
OffRL
147
563
0
26 Sep 2019
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Yuzhe Yang
Guo Zhang
Zhi Xu
Dina Katabi
OffRL
99
33
0
26 Sep 2019
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
121
126
0
26 Sep 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn
Henry Zhu
Kristian Hartikainen
Hugo Ponte
Abhishek Gupta
Sergey Levine
Vikash Kumar
90
130
0
25 Sep 2019
Visualizing Movement Control Optimization Landscapes
Perttu Hämäläinen
Juuso Toikka
Amin Babadi
Karen Liu
59
7
0
17 Sep 2019
State Representation Learning from Demonstration
Astrid Merckling
Michael Pearce
Loic Cressot
Stéphane Doncieux
Matthias Poloczek
OffRL
78
8
0
15 Sep 2019
Exploration-Enhanced POLITEX
Yasin Abbasi-Yadkori
N. Lazić
Csaba Szepesvári
Gellert Weisz
76
23
0
27 Aug 2019
Dynamics-aware Embeddings
William F. Whitney
Rajat Agarwal
Kyunghyun Cho
Abhinav Gupta
SSL
100
53
0
25 Aug 2019
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