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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
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Andrew C. Li
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
LRM
45
4
0
03 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Rameswar Panda
Marc G. Bellemare
OffRL
OnRL
137
66
0
03 Jun 2022
When does return-conditioned supervised learning work for offline reinforcement learning?
David Brandfonbrener
A. Bietti
Jacob Buckman
Romain Laroche
Joan Bruna
OffRL
97
65
0
02 Jun 2022
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment
Michal Nazarczuk
Tony Ng
K. Mikolajczyk
28
0
0
01 Jun 2022
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Dian Wang
Colin Kohler
Xu Zhu
Ming Jia
Robert Platt
73
9
0
28 May 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models
Minting Pan
Geng Chen
Yunbo Wang
Xiaokang Yang
106
43
0
27 May 2022
MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control
Vittorio Caggiano
Huawei Wang
G. Durandau
Massimo Sartori
Vikash Kumar
86
101
0
26 May 2022
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
Frederik Schubert
C. Benjamins
Sebastian Dohler
Bodo Rosenhahn
Marius Lindauer
SSL
OffRL
95
4
0
23 May 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions
Rui Yang
Jie Wang
Zijie Geng
Mingxuan Ye
Shuiwang Ji
Bin Li
Fengli Wu
OOD
82
22
0
20 May 2022
An Empirical Investigation of Representation Learning for Imitation
Xin Chen
Sam Toyer
Cody Wild
Scott Emmons
Ian S. Fischer
...
Steven H. Wang
Ping Luo
Stuart J. Russell
Pieter Abbeel
Rohin Shah
AI4TS
93
27
0
16 May 2022
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&Ro
LLMAG
AI4CE
217
827
0
12 May 2022
Simultaneous Double Q-learning with Conservative Advantage Learning for Actor-Critic Methods
Qing Li
Wen-gang Zhou
Zhenbo Lu
Houqiang Li
OffRL
37
2
0
08 May 2022
Search-Based Testing of Reinforcement Learning
Martin Tappler
Filip Cano Córdoba
B. Aichernig
Bettina Könighofer
ELM
OffRL
60
24
0
07 May 2022
Offline Visual Representation Learning for Embodied Navigation
Karmesh Yadav
Ram Ramrakhya
Arjun Majumdar
Vincent-Pierre Berges
Sachit Kuhar
Dhruv Batra
Alexei Baevski
Oleksandr Maksymets
OffRL
SSL
120
79
0
27 Apr 2022
Task-Induced Representation Learning
Jun Yamada
Karl Pertsch
Anisha Gunjal
Joseph J. Lim
SSL
70
14
0
25 Apr 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
Yi Wan
Ali Rahimi-Kalahroudi
Janarthanan Rajendran
Ida Momennejad
Sarath Chandar
H. V. Seijen
94
12
0
25 Apr 2022
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics
Yannis Flet-Berliac
D. Basu
AAML
89
8
0
20 Apr 2022
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting
Sheo Yon Jhin
Jaehoon Lee
Minju Jo
Seung-Uk Kook
Jinsung Jeon
Jihyeon Hyeong
Jayoung Kim
Noseong Park
AI4TS
92
20
0
19 Apr 2022
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL
Homanga Bharadhwaj
Mohammad Babaeizadeh
D. Erhan
Sergey Levine
93
31
0
18 Apr 2022
Automating Reinforcement Learning with Example-based Resets
Jigang Kim
Jaehyeon Park
Daesol Cho
H. J. Kim
CLL
OnRL
95
14
0
05 Apr 2022
Marginalized Operators for Off-policy Reinforcement Learning
Yunhao Tang
Mark Rowland
Rémi Munos
Michal Valko
OffRL
75
0
0
30 Mar 2022
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
Abulikemu Abuduweili
Changliu Liu
41
1
0
23 Mar 2022
Self-Imitation Learning from Demonstrations
Georgiy Pshikhachev
Dmitry Ivanov
Vladimir Egorov
A. Shpilman
56
6
0
21 Mar 2022
Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study
Shangqun Yu
Sreehari Rammohan
Kaiyu Zheng
George Konidaris
26
1
0
20 Mar 2022
Multiscale Sensor Fusion and Continuous Control with Neural CDEs
Sumeet Singh
Francis McCann Ramirez
Jacob Varley
Andy Zeng
Vikas Sindhwani
83
3
0
16 Mar 2022
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning
Satoshi Kataoka
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Igor Mordatch
71
19
0
15 Mar 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Akira Kinose
Masashi Okada
Ryogo Okumura
T. Taniguchi
OffRL
70
11
0
15 Mar 2022
Masked Visual Pre-training for Motor Control
Tete Xiao
Ilija Radosavovic
Trevor Darrell
Jitendra Malik
SSL
145
250
0
11 Mar 2022
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen
Xiaolong Wang
H. Su
PINN
MU
109
256
0
09 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Simone Parisi
Aravind Rajeswaran
Senthil Purushwalkam
Abhinav Gupta
LM&Ro
139
198
0
07 Mar 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Rafael Figueiredo Prudencio
Marcos R. O. A. Máximo
Esther Luna Colombini
OffRL
125
244
0
02 Mar 2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images
Bang You
Oleg Arenz
Youping Chen
Jan Peters
95
19
0
02 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
Masashi Okada
T. Taniguchi
3DV
OffRL
103
24
0
01 Mar 2022
TransDreamer: Reinforcement Learning with Transformer World Models
Changgu Chen
Yi-Fu Wu
Jaesik Yoon
Sungjin Ahn
OffRL
114
97
0
19 Feb 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang
Xufang Luo
George Andriopoulos
Dongsheng Li
OffRL
123
51
0
17 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
Aditya Mohan
Sebastian Dohler
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
116
32
0
09 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
168
69
0
01 Feb 2022
You May Not Need Ratio Clipping in PPO
Mingfei Sun
Vitaly Kurin
Guoqing Liu
Sam Devlin
Tao Qin
Katja Hofmann
Shimon Whiteson
62
16
0
31 Jan 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Denis Yarats
David Brandfonbrener
Hao Liu
Michael Laskin
Pieter Abbeel
A. Lazaric
Lerrel Pinto
OffRL
OnRL
114
94
0
31 Jan 2022
Explaining Reinforcement Learning Policies through Counterfactual Trajectories
Julius Frost
Olivia Watkins
Eric Weiner
Pieter Abbeel
Trevor Darrell
Bryan A. Plummer
Kate Saenko
OffRL
88
6
0
29 Jan 2022
Mask-based Latent Reconstruction for Reinforcement Learning
Tao Yu
Zhizheng Zhang
Cuiling Lan
Yan Lu
Zhibo Chen
107
45
0
28 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning
Nathan Lambert
Markus Wulfmeier
William F. Whitney
Arunkumar Byravan
Michael Bloesch
Vibhavari Dasagi
Tim Hertweck
Martin Riedmiller
OffRL
96
29
0
27 Jan 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks
Chenyu Sun
Hangwei Qian
Chunyan Miao
78
10
0
20 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang
Jiacheng Wang
Xiao Chen
79
4
0
18 Jan 2022
Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning
Michael J. Curry
Alexander R. Trott
Soham R. Phade
Yunru Bai
Stephan Zheng
94
6
0
03 Jan 2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Andrew Cohen
Furong Huang
OOD
OffRL
112
22
0
01 Jan 2022
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning
Hongyu Zang
Xin Li
Mingzhong Wang
70
16
0
31 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma
Kelvin Xu
Nikhil Sardana
Abhishek Gupta
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
117
26
0
17 Dec 2021
Functional Regularization for Reinforcement Learning via Learned Fourier Features
Alexander C. Li
Deepak Pathak
87
18
0
06 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control
Jianye Hao
Yifu Yuan
Cong Wang
Zhen Wang
OffRL
98
2
0
06 Dec 2021
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