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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 / 791 papers shown
Title
A Control-Centric Benchmark for Video Prediction
Stephen Tian
Chelsea Finn
Jiajun Wu
42
10
0
26 Apr 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja
Ben Moran
Guy Lever
Sandy H. Huang
Dhruva Tirumala
...
Andrea Huber
N. Hurley
F. Nori
R. Hadsell
N. Heess
50
143
0
26 Apr 2023
Model Predictive Control with Self-supervised Representation Learning
Jonas A. Matthies
Muhammad Burhan Hafez
Mostafa Kotb
S. Wermter
SSL
13
0
0
14 Apr 2023
Feudal Graph Reinforcement Learning
Tommaso Marzi
Arshjot Khehra
Andrea Cini
Cesare Alippi
30
0
0
11 Apr 2023
Chain-of-Thought Predictive Control
Zhiwei Jia
Vineet Thumuluri
Fangchen Liu
Ling-Hao Chen
Zhiao Huang
H. Su
LM&Ro
39
20
0
03 Apr 2023
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Arjun Majumdar
Karmesh Yadav
Sergio Arnaud
Yecheng Jason Ma
Claire Chen
...
Dhruv Batra
Yixin Lin
Oleksandr Maksymets
Aravind Rajeswaran
Franziska Meier
LM&Ro
27
174
0
31 Mar 2023
Model-Based Reinforcement Learning with Isolated Imaginations
Minting Pan
Xiangming Zhu
Yitao Zheng
Yunbo Wang
Xiaokang Yang
31
0
0
27 Mar 2023
Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning
Satoshi Kataoka
Youngseog Chung
Seyed Kamyar Seyed Ghasemipour
Pannag R. Sanketi
S. Gu
Igor Mordatch
50
5
0
27 Mar 2023
Planning Goals for Exploration
E. Hu
Richard Chang
Oleh Rybkin
Dinesh Jayaraman
43
24
0
23 Mar 2023
A Survey of Demonstration Learning
André Rosa de Sousa Porfírio Correia
Luís A. Alexandre
OffRL
36
17
0
20 Mar 2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
Nicolai Dorka
Tim Welschehold
Wolfram Burgard
16
3
0
17 Mar 2023
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning
Ali Rahimi-Kalahroudi
Janarthanan Rajendran
Ida Momennejad
H. V. Seijen
Sarath Chandar
CLL
KELM
36
2
0
15 Mar 2023
Predictive Experience Replay for Continual Visual Control and Forecasting
Wendong Zhang
Geng Chen
Xiangming Zhu
Siyu Gao
Yunbo Wang
Xiaokang Yang
CLL
55
3
0
12 Mar 2023
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
Bryan Lim
Manon Flageat
Antoine Cully
OnRL
36
7
0
10 Mar 2023
Structured State Space Models for In-Context Reinforcement Learning
Chris Xiaoxuan Lu
Yannick Schroecker
Albert Gu
Emilio Parisotto
Jakob N. Foerster
Satinder Singh
Feryal M. P. Behbahani
AI4TS
97
84
0
07 Mar 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
Yuanying Cai
Chuheng Zhang
Wei Shen
Xuyun Zhang
Wenjie Ruan
Longbo Huang
OffRL
32
4
0
03 Mar 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting
Hongyao Tang
Hao Fei
Jianye Hao
25
1
0
02 Mar 2023
PlaNet-ClothPick: Effective Fabric Flattening Based on Latent Dynamic Planning
Halid Abdulrahim Kadi
K. Terzic
35
1
0
02 Mar 2023
Neural Optimal Control using Learned System Dynamics
Selim Engin
Volkan Isler
22
3
0
20 Feb 2023
LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery
Paul Maria Scheikl
B. Gyenes
Rayan Younis
Christoph Haas
Gerhard Neumann
M. Wagner
F. Mathis-Ullrich
28
25
0
19 Feb 2023
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution
Jie Wang
Rui Yang
Zijie Geng
Zhihao Shi
Mingxuan Ye
Qi Zhou
Shuiwang Ji
Bin Li
Yongdong Zhang
Feng Wu
37
4
0
19 Feb 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Hannes Eriksson
D. Basu
Tommy Tram
Mina Alibeigi
Christos Dimitrakakis
21
1
0
18 Feb 2023
Imitation from Observation With Bootstrapped Contrastive Learning
M. Sonwa
Johanna Hansen
Eugene Belilovsky
OffRL
38
0
0
13 Feb 2023
Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL
Sébastien M. R. Arnold
Fei Sha
SSL
21
0
0
12 Feb 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
Qiyuan Liu
Qi Zhou
Rui Yang
Jie Wang
OffRL
OOD
25
14
0
12 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
SSL
66
10
0
11 Feb 2023
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
P. Becker
Sebastian Mossburger
Fabian Otto
Gerhard Neumann
SSL
37
2
0
10 Feb 2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization
Zichuan Lin
Xiapeng Wu
Mingfei Sun
Deheng Ye
Qiang Fu
Wei Yang
Wei Liu
28
3
0
05 Feb 2023
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
Jianxiong Li
Xiao Hu
Haoran Xu
Jingjing Liu
Xianyuan Zhan
Qing-Shan Jia
Ya Zhang
OffRL
38
19
0
03 Feb 2023
Visual Imitation Learning with Patch Rewards
Minghuan Liu
Tairan He
Weinan Zhang
Shuicheng Yan
Zhongwen Xu
SSL
22
13
0
02 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Yesom Park
Jaemoo Choi
Changyeon Yoon
Changhoon Song
Myung-joo Kang
AI4TS
AI4CE
27
3
0
02 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning
Darshita Jain
A. Majumder
S. Dutta
Swagat Kumar
SSL
34
1
0
31 Jan 2023
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
Reimi Sato
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
OffRL
18
0
0
31 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning
Dong Yin
S. Thiagarajan
N. Lazić
Nived Rajaraman
Botao Hao
Csaba Szepesvári
25
4
0
29 Jan 2023
Reinforcement Learning from Diverse Human Preferences
Wanqi Xue
Bo An
Shuicheng Yan
Zhongwen Xu
14
21
0
27 Jan 2023
Improving Behavioural Cloning with Positive Unlabeled Learning
Qiang-qiang Wang
Robert McCarthy
David Córdova Bulens
Kevin McGuinness
Noel E. O'Connor
Nico Gürtler
Felix Widmaier
Francisco Roldan Sanchez
S. Redmond
OffRL
OnRL
34
8
0
27 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
OffRL
29
8
0
26 Jan 2023
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Yanchao Sun
Shuang Ma
Ratnesh Madaan
Rogerio Bonatti
Furong Huang
Ashish Kapoor
35
40
0
24 Jan 2023
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
Shaofei Cai
Zihao Wang
Xiaojian Ma
Guy Van den Broeck
Yitao Liang
50
40
0
21 Jan 2023
Learnable Path in Neural Controlled Differential Equations
Sheo Yon Jhin
Minju Jo
Seung-Uk Kook
Noseong Park
Sungpil Woo
Sunhwan Lim
29
5
0
11 Jan 2023
Mastering Diverse Domains through World Models
Danijar Hafner
J. Pašukonis
Jimmy Ba
Timothy Lillicrap
38
553
0
10 Jan 2023
Extreme Q-Learning: MaxEnt RL without Entropy
Divyansh Garg
Joey Hejna
M. Geist
Stefano Ermon
OffRL
41
66
0
05 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
44
18
0
05 Jan 2023
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Shengchao Hu
Li Shen
Ya Zhang
Yixin Chen
Dacheng Tao
OffRL
27
25
0
29 Dec 2022
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
Jianda Chen
Sinno Jialin Pan
SSL
21
6
0
26 Dec 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
Zhecheng Yuan
Zhengrong Xue
Bo Yuan
Xueqian Wang
Yi Wu
Yang Gao
Huazhe Xu
SSL
OffRL
46
70
0
17 Dec 2022
Latent Variable Representation for Reinforcement Learning
Tongzheng Ren
Chenjun Xiao
Tianjun Zhang
Na Li
Zhaoran Wang
Sujay Sanghavi
Dale Schuurmans
Bo Dai
OffRL
33
10
0
17 Dec 2022
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies
Shivakanth Sujit
Pedro H. M. Braga
J. Bornschein
Samira Ebrahimi Kahou
OffRL
30
1
0
15 Dec 2022
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
Nicklas Hansen
Zhecheng Yuan
Yanjie Ze
Tongzhou Mu
Aravind Rajeswaran
H. Su
Huazhe Xu
Xiaolong Wang
34
65
0
12 Dec 2022
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
Zhao Mandi
Homanga Bharadhwaj
Vincent Moens
Shuran Song
Aravind Rajeswaran
Vikash Kumar
LM&Ro
28
70
0
12 Dec 2022
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