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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
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Cristian Meo
Mircea Lica
Zarif Ikram
Akihiro Nakano
Vedant Shah
Aniket Didolkar
Dianbo Liu
Anirudh Goyal
Justin Dauwels
OffRL
247
0
0
10 Oct 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
Sumeet Batra
Gaurav Sukhatme
OffRL
DRL
83
2
0
09 Oct 2024
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
Thomas Schmied
Fabian Paischer
Vihang Patil
M. Hofmarcher
Razvan Pascanu
Sepp Hochreiter
OffRL
103
7
0
09 Oct 2024
Learning in complex action spaces without policy gradients
Arash Tavakoli
Sina Ghiassian
Nemanja Rakićević
OffRL
74
0
0
08 Oct 2024
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Carlo Bosio
Mark W. Mueller
64
0
0
07 Oct 2024
Bisimulation metric for Model Predictive Control
Yutaka Shimizu
Masayoshi Tomizuka
106
0
0
06 Oct 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization
Di Zhang
Bowen Lv
Hai Zhang
Feifan Yang
Junqiao Zhao
Hang Yu
Chang Huang
Hongtu Zhou
Chen Ye
Changjun Jiang
92
3
0
29 Sep 2024
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
Haoran Li
Zhennan Jiang
Yuhui Chen
Dongbin Zhao
OffRL
113
3
0
28 Sep 2024
Secure Multiparty Generative AI
Manil Shrestha
Yashodha Ravichandran
Edward Kim
51
1
0
27 Sep 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
Joseph Ortiz
Antoine Dedieu
Wolfgang Lehrach
Swaroop Guntupalli
Carter Wendelken
Ahmad Humayun
Guangyao Zhou
Sivaramakrishnan Swaminathan
Miguel Lázaro-Gredilla
Kevin P. Murphy
OffRL
76
1
0
26 Sep 2024
Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences
Z. Liu
Junjie Xu
Xingjiao Wu
J. Yang
Liang He
90
0
0
11 Sep 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
Hongyao Tang
Glen Berseth
OffRL
97
2
0
07 Sep 2024
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
Hemant Kumawat
Biswadeep Chakraborty
Saibal Mukhopadhyay
131
3
0
04 Sep 2024
Unsupervised-to-Online Reinforcement Learning
Junsu Kim
Seohong Park
Sergey Levine
OnRL
105
5
0
27 Aug 2024
Equivariant Reinforcement Learning under Partial Observability
Hai Nguyen
Andrea Baisero
David Klee
Dian Wang
Robert Platt
Christopher Amato
93
16
0
26 Aug 2024
Advances in Preference-based Reinforcement Learning: A Review
Youssef Abdelkareem
Shady Shehata
Fakhri Karray
OffRL
98
10
0
21 Aug 2024
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
Yi Zhao
Le Chen
Jan Schneider
Quankai Gao
Arno Solin
Bernhard Scholkopf
Joni Pajarinen
Le Chen
73
2
0
20 Aug 2024
CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learning
V. A. Kich
J. A. Bottega
Raul Steinmetz
Ricardo B. Grando
Ayano Yorozu
Akihisa Ohya
OffRL
99
0
0
11 Aug 2024
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
Heewoong Choi
Sangwon Jung
Hongjoon Ahn
Taesup Moon
OffRL
122
4
0
08 Aug 2024
ProSpec RL: Plan Ahead, then Execute
Liangliang Liu
Huiyu Duan
Liu Yang
Rujia Shen
Yi Lin
Chaoran Kong
Lian Yan
P. Callet
OffRL
73
0
0
31 Jul 2024
Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks
David Valencia
Henry Williams
Yuning Xing
Trevor Gee
Minas V. Liarokapis
Bruce A. MacDonald
74
0
0
31 Jul 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
Yupei Yang
Erdun Gao
Shikui Tu
Lei Xu
CML
99
1
0
30 Jul 2024
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Jinghuan Shang
Karl Schmeckpeper
Brandon B. May
M. Minniti
Tarik Kelestemur
David Watkins
Laura Herlant
VLM
106
24
0
29 Jul 2024
On the benefits of pixel-based hierarchical policies for task generalization
T. Cristea-Platon
Bogdan Mazoure
Josh Susskind
Walter A. Talbott
70
0
0
27 Jul 2024
The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning
Andrew Patterson
Samuel Neumann
Raksha Kumaraswamy
Martha White
Adam White
73
2
0
26 Jul 2024
Domain Adaptation of Visual Policies with a Single Demonstration
Weiyao Wang
Gregory D. Hager
94
0
0
23 Jul 2024
Exploring and Addressing Reward Confusion in Offline Preference Learning
Xin Chen
Sam Toyer
Florian Shkurti
OffRL
65
0
0
22 Jul 2024
A Review of Nine Physics Engines for Reinforcement Learning Research
Michael Kaup
Cornelius Wolff
Hyerim Hwang
Julius Mayer
Elia Bruni
AI4CE
74
8
0
11 Jul 2024
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
Junik Bae
Kwanyoung Park
Youngwoon Lee
89
3
0
11 Jul 2024
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
Nikita Chernyadev
Nicholas Backshall
Xiao Ma
Yunfan Lu
Younggyo Seo
Stephen James
87
15
0
10 Jul 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
Augustine N. Mavor-Parker
Matthew J. Sargent
Caswell Barry
Lewis D. Griffin
Clare Lyle
118
2
0
09 Jul 2024
RobocupGym: A challenging continuous control benchmark in Robocup
Michael Beukman
Branden Ingram
Geraud Nangue Tasse
Benjamin Rosman
Pravesh Ranchod
OffRL
90
2
0
03 Jul 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning
Benjamin Estermann
Luca A. Lanzendörfer
Yannick Niedermayr
Roger Wattenhofer
117
6
0
29 Jun 2024
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
Gautham Vasan
Yan Wang
Fahim Shahriar
James Bergstra
Martin Jägersand
A. R. Mahmood
84
3
0
29 Jun 2024
Efficient World Models with Context-Aware Tokenization
Vincent Micheli
Eloi Alonso
François Fleuret
OffRL
VLM
80
6
0
27 Jun 2024
Video Occupancy Models
Manan Tomar
Philippe Hansen-Estruch
Philip Bachman
Alex Lamb
John Langford
Matthew E. Taylor
Sergey Levine
127
3
0
25 Jun 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
Junkai Zhang
Weitong Zhang
Dongruo Zhou
Q. Gu
111
3
0
24 Jun 2024
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
P. Becker
Niklas Freymuth
Gerhard Neumann
Mamba
84
2
0
21 Jun 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher
Rishabh Agarwal
Yoshinobu Kawahara
OffRL
64
1
0
21 Jun 2024
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers
Harald Semmelrock
Tony Ross-Hellauer
Simone Kopeinik
Dieter Theiler
Armin Haberl
Stefan Thalmann
Dominik Kowald
159
10
0
20 Jun 2024
Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning
Vittorio Giammarino
James Queeney
I. Paschalidis
85
2
0
18 Jun 2024
Demonstrating Agile Flight from Pixels without State Estimation
Ismail Geles
L. Bauersfeld
Angel Romero
Jiaxu Xing
Davide Scaramuzza
95
23
0
18 Jun 2024
Solving Vision Tasks with Simple Photoreceptors Instead of Cameras
Andrei Atanov
Jiawei Fu
Rishubh Singh
Isabella Yu
Andrew Spielberg
Amir Zamir
80
1
0
17 Jun 2024
RRLS : Robust Reinforcement Learning Suite
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OffRL
84
2
0
12 Jun 2024
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar
Zhuoran Peng
Lerrel Pinto
OffRL
116
43
0
11 Jun 2024
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
Dongyoon Hwang
ByungKun Lee
Hojoon Lee
Hyunseung Kim
Jaegul Choo
116
0
0
10 Jun 2024
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
Donghu Kim
Hojoon Lee
Kyungmin Lee
Dongyoon Hwang
Jaegul Choo
OffRL
92
1
0
10 Jun 2024
Decoupling regularization from the action space
Sobhan Mohammadpour
Emma Frejinger
Pierre-Luc Bacon
71
2
0
10 Jun 2024
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
Calarina Muslimani
Bram Grooten
Deepak Ranganatha Sastry Mamillapalli
Mykola Pechenizkiy
Decebal Constantin Mocanu
Matthew E. Taylor
105
0
0
10 Jun 2024
iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning
Aidan Scannell
Kalle Kujanpää
Yi Zhao
Mohammadreza Nakhaei
Dieter Büchler
Joni Pajarinen
SSL
152
5
0
04 Jun 2024
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