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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
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot
Alexander Clegg
Eric Undersander
Erik Wijmans
Yili Zhao
...
Z. Kira
V. Koltun
Jitendra Malik
Manolis Savva
Dhruv Batra
LM&Ro
143
528
0
28 Jun 2021
Intrinsically Motivated Self-supervised Learning in Reinforcement
  Learning
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Yue Zhao
Chenzhuang Du
Hang Zhao
Tiejun Li
SSL
60
5
0
26 Jun 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body
  Simulation
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
C. Freeman
Erik Frey
Anton Raichuk
Sertan Girgin
Igor Mordatch
Olivier Bachem
120
380
0
24 Jun 2021
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control
  with Scarce Data and Side Information
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information
Franck Djeumou
Ufuk Topcu
43
4
0
19 Jun 2021
Scenic4RL: Programmatic Modeling and Generation of Reinforcement
  Learning Environments
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments
Abdus Salam Azad
Edward Kim
M. Wu
Kimin Lee
Ion Stoica
Pieter Abbeel
Sanjit A. Seshia
54
7
0
18 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual
  Policies
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
OffRL
139
65
0
17 Jun 2021
Towards Automatic Actor-Critic Solutions to Continuous Control
Towards Automatic Actor-Critic Solutions to Continuous Control
J. E. Grigsby
Jinsu Yoo
Yanjun Qi
OffRL
78
6
0
16 Jun 2021
Real-time Adversarial Perturbations against Deep Reinforcement Learning
  Policies: Attacks and Defenses
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses
Buse G. A. Tekgul
Shelly Wang
Samuel Marchal
Nadarajah Asokan
AAMLOffRL
86
6
0
16 Jun 2021
On Multi-objective Policy Optimization as a Tool for Reinforcement
  Learning: Case Studies in Offline RL and Finetuning
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
A. Abdolmaleki
Sandy H. Huang
Giulia Vezzani
Bobak Shahriari
Jost Tobias Springenberg
...
András Gyorgy
Csaba Szepesvári
R. Hadsell
N. Heess
Martin Riedmiller
OffRL
65
5
0
15 Jun 2021
rSoccer: A Framework for Studying Reinforcement Learning in Small and
  Very Small Size Robot Soccer
rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot Soccer
Felipe Bezerra Martins
Mateus G. Machado
H. Bassani
Pedro H. M. Braga
Edna N. S. Barros
34
16
0
15 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space
Temporal Predictive Coding For Model-Based Planning In Latent Space
Tung D. Nguyen
Rui Shu
Tu Pham
Hung Bui
Stefano Ermon
OffRL
103
59
0
14 Jun 2021
Pretrained Encoders are All You Need
Pretrained Encoders are All You Need
Mina Khan
P. Srivatsa
Advait Rane
Shriram Chenniappa
Rishabh Anand
Sherjil Ozair
Pattie Maes
SSLVLM
83
6
0
09 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via
  Relabeling Experience and Unsupervised Pre-training
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee
Laura M. Smith
Pieter Abbeel
OffRL
106
289
0
09 Jun 2021
Bayesian Bellman Operators
Bayesian Bellman Operators
M. Fellows
Kristian Hartikainen
Shimon Whiteson
OffRL
94
17
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
101
46
0
08 Jun 2021
Learning Routines for Effective Off-Policy Reinforcement Learning
Learning Routines for Effective Off-Policy Reinforcement Learning
Edoardo Cetin
Oya Celiktutan
30
1
0
05 Jun 2021
Differentiable Architecture Search for Reinforcement Learning
Differentiable Architecture Search for Reinforcement Learning
Yingjie Miao
Xingyou Song
John D. Co-Reyes
Daiyi Peng
Summer Yue
E. Brevdo
Aleksandra Faust
71
4
0
04 Jun 2021
MICo: Improved representations via sampling-based state similarity for
  Markov decision processes
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro
Tyler Kastner
Prakash Panangaden
Mark Rowland
93
39
0
03 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based
  Reinforcement Learning
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
Jongwook Choi
Archit Sharma
Honglak Lee
Sergey Levine
S. Gu
DRL
67
21
0
02 Jun 2021
Discovering Diverse Nearly Optimal Policies with Successor Features
Discovering Diverse Nearly Optimal Policies with Successor Features
Tom Zahavy
Brendan O'Donoghue
André Barreto
Volodymyr Mnih
Sebastian Flennerhag
Satinder Singh
91
21
0
01 Jun 2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic
  Manipulation
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation
Stephen James
Andrew J. Davison
96
129
0
31 May 2021
Reducing the Deployment-Time Inference Control Costs of Deep
  Reinforcement Learning Agents via an Asymmetric Architecture
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture
Chin-Jui Chang
Yu-Wei Chu
Chao-Hsien Ting
Hao-Kang Liu
Zhang-Wei Hong
Chun-Yi Lee
AI4CE
44
1
0
30 May 2021
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic
  Manipulation with Pybullet
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet
Xintong Yang
Ze Ji
Jing Wu
Yu-kun Lai
58
15
0
12 May 2021
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions
Taisei Hashimoto
Yoshimasa Tsuruoka
34
0
0
07 May 2021
Pre-training of Deep RL Agents for Improved Learning under Domain
  Randomization
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization
Artemij Amiranashvili
Max Argus
Lukás Hermann
Wolfram Burgard
Thomas Brox
44
3
0
29 Apr 2021
Autoregressive Dynamics Models for Offline Policy Evaluation and
  Optimization
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
Michael Ruogu Zhang
T. Paine
Ofir Nachum
Cosmin Paduraru
George Tucker
Ziyun Wang
Mohammad Norouzi
OffRL
91
49
0
28 Apr 2021
End-to-end grasping policies for human-in-the-loop robots via deep
  reinforcement learning
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
M. Sharif
Deniz Erdogmus
Chris Amato
T. Padır
36
2
0
26 Apr 2021
A learning gap between neuroscience and reinforcement learning
A learning gap between neuroscience and reinforcement learning
Samuel T. Wauthier
Pietro Mazzaglia
Ozan Çatal
Cedric De Boom
Tim Verbelen
Bart Dhoedt
63
3
0
22 Apr 2021
Auto-Tuned Sim-to-Real Transfer
Auto-Tuned Sim-to-Real Transfer
Yuqing Du
Olivia Watkins
Trevor Darrell
Pieter Abbeel
Deepak Pathak
97
73
0
15 Apr 2021
Data-Driven Reinforcement Learning for Virtual Character Animation
  Control
Data-Driven Reinforcement Learning for Virtual Character Animation Control
V. Gamage
Cathy Ennis
Robert J Ross
AI4CE
19
0
0
13 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Xudong Wang
Long Lian
Stella X. Yu
OOD
98
39
0
07 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Philippe Hansen-Estruch
Wenling Shang
Lerrel Pinto
Pieter Abbeel
Stas Tiomkin
AI4CE
65
3
0
07 Apr 2021
AMP: Adversarial Motion Priors for Stylized Physics-Based Character
  Control
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control
Xue Bin Peng
Ze Ma
Pieter Abbeel
Sergey Levine
Angjoo Kanazawa
77
34
0
05 Apr 2021
Co-Adaptation of Algorithmic and Implementational Innovations in
  Inference-based Deep Reinforcement Learning
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
Hiroki Furuta
Tadashi Kozuno
T. Matsushima
Y. Matsuo
S. Gu
129
14
0
31 Mar 2021
Policy Information Capacity: Information-Theoretic Measure for Task
  Complexity in Deep Reinforcement Learning
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Hiroki Furuta
T. Matsushima
Tadashi Kozuno
Y. Matsuo
Sergey Levine
Ofir Nachum
S. Gu
OffRL
60
14
0
23 Mar 2021
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
James Herman
Jonathan M Francis
Siddha Ganju
Bingqing Chen
Anirudh Koul
Abhinav Gupta
Alexey Skabelkin
Ivan Zhukov
Max Kumskoy
Eric Nyberg
95
36
0
22 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
52
17
0
15 Mar 2021
Comparing Popular Simulation Environments in the Scope of Robotics and
  Reinforcement Learning
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning
Marian Korber
Johann Lange
S. Rediske
Simon Steinmann
Roland Glück
75
49
0
08 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
84
11
0
04 Mar 2021
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information
  Bottleneck
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
Jiameng Fan
Wenchao Li
OffRL
75
40
0
26 Feb 2021
Task-Agnostic Morphology Evolution
Task-Agnostic Morphology Evolution
D. Hejna
Pieter Abbeel
Lerrel Pinto
79
27
0
25 Feb 2021
Improved Regret Bound and Experience Replay in Regularized Policy
  Iteration
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
N. Lazić
Dong Yin
Yasin Abbasi-Yadkori
Csaba Szepesvári
OffRL
60
18
0
25 Feb 2021
Reinforcement Learning with Prototypical Representations
Reinforcement Learning with Prototypical Representations
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
SSL
94
226
0
22 Feb 2021
Return-Based Contrastive Representation Learning for Reinforcement
  Learning
Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu
Wei Shen
Li Zhao
Tao Qin
Jinhua Zhu
Jian Li
Nenghai Yu
Tie-Yan Liu
SSLOffRL
102
48
0
22 Feb 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning
Decoupling Value and Policy for Generalization in Reinforcement Learning
Roberta Raileanu
Rob Fergus
DRLOffRL
114
99
0
20 Feb 2021
Deluca -- A Differentiable Control Library: Environments, Methods, and
  Benchmarking
Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking
Paula Gradu
John Hallman
Daniel Suo
Alex Yu
Naman Agarwal
Udaya Ghai
Karan Singh
Cyril Zhang
Anirudha Majumdar
Elad Hazan
62
15
0
19 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
321
435
0
16 Feb 2021
Domain Adversarial Reinforcement Learning
Domain Adversarial Reinforcement Learning
Bonnie Li
Vincent Franccois-Lavet
T. Doan
Joelle Pineau
OOD
43
22
0
14 Feb 2021
Optimization Issues in KL-Constrained Approximate Policy Iteration
Optimization Issues in KL-Constrained Approximate Policy Iteration
N. Lazić
Botao Hao
Yasin Abbasi-Yadkori
Dale Schuurmans
Csaba Szepesvári
57
11
0
11 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani
Amy Zhang
Joelle Pineau
98
192
0
11 Feb 2021
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