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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
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
Nikita Chernyadev
Nicholas Backshall
Xiao Ma
Yunfan Lu
Younggyo Seo
Stephen James
29
11
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
47
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
43
1
0
03 Jul 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning
Benjamin Estermann
Luca A. Lanzendörfer
Yannick Niedermayr
Roger Wattenhofer
55
2
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
27
2
0
29 Jun 2024
Efficient World Models with Context-Aware Tokenization
Vincent Micheli
Eloi Alonso
François Fleuret
OffRL
VLM
34
6
0
27 Jun 2024
Video Occupancy Models
Manan Tomar
Philippe Hansen-Estruch
Philip Bachman
Alex Lamb
John Langford
Matthew E. Taylor
Sergey Levine
63
1
0
25 Jun 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
Junkai Zhang
Weitong Zhang
Dongruo Zhou
Q. Gu
57
3
0
24 Jun 2024
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
P. Becker
Niklas Freymuth
Gerhard Neumann
Mamba
26
2
0
21 Jun 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher
Rishabh Agarwal
Yoshinobu Kawahara
OffRL
34
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
65
7
0
20 Jun 2024
Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning
Vittorio Giammarino
James Queeney
I. Paschalidis
32
1
0
18 Jun 2024
Demonstrating Agile Flight from Pixels without State Estimation
Ismail Geles
L. Bauersfeld
Angel Romero
Jiaxu Xing
Davide Scaramuzza
46
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
52
1
0
17 Jun 2024
RRLS : Robust Reinforcement Learning Suite
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OffRL
32
2
0
12 Jun 2024
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar
Zhuoran Peng
Lerrel Pinto
OffRL
46
28
0
11 Jun 2024
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
Dongyoon Hwang
ByungKun Lee
Hojoon Lee
Hyunseung Kim
Jaegul Choo
53
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
38
1
0
10 Jun 2024
Decoupling regularization from the action space
Sobhan Mohammadpour
Emma Frejinger
Pierre-Luc Bacon
37
0
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
54
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
55
5
0
04 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
OffRL
41
0
0
03 Jun 2024
Value Improved Actor Critic Algorithms
Yaniv Oren
Moritz A. Zanger
Pascal R. van der Vaart
M. Spaan
Wendelin Bohmer
Wendelin Bohmer
OffRL
33
0
0
03 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Jaegul Choo
39
1
0
01 Jun 2024
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications
Dayang Liang
Jinyang Lai
Yunlong Liu
33
0
0
30 May 2024
Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation
Fengshuo Bai
Rui Zhao
Hongming Zhang
Sijia Cui
Ying Wen
Yaodong Yang
Bo Xu
Lei Han
OffRL
32
6
0
29 May 2024
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
Yu-Juan Luo
Tianying Ji
Gang Hua
Jianwei Zhang
Huazhe Xu
Xianyuan Zhan
OffRL
OnRL
45
2
0
28 May 2024
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
Ignat Georgiev
K. Srinivasan
Jie Xu
Eric Heiden
Animesh Garg
41
8
0
28 May 2024
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning
Abdulaziz Almuzairee
Nicklas Hansen
Henrik I. Christensen
48
7
0
27 May 2024
Position: Foundation Agents as the Paradigm Shift for Decision Making
Xiaoqian Liu
Xingzhou Lou
Jianbin Jiao
Junge Zhang
OffRL
LLMAG
45
6
0
27 May 2024
Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents
Safa Alver
Ali Rahimi-Kalahroudi
Doina Precup
27
1
0
27 May 2024
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
Shangding Gu
Bilgehan Sel
Yuhao Ding
Lu Wang
Qingwei Lin
Alois Knoll
Ming Jin
42
1
0
26 May 2024
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control
Michal Nauman
M. Ostaszewski
Krzysztof Jankowski
Piotr Milo's
Marek Cygan
OffRL
47
16
0
25 May 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery
Chenjia Bai
Rushuai Yang
Qiaosheng Zhang
Kang Xu
Yi Chen
Ting Xiao
Xuelong Li
OffRL
40
3
0
25 May 2024
MuDreamer: Learning Predictive World Models without Reconstruction
Maxime Burchi
Radu Timofte
40
3
0
23 May 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Xuezhou Xu
Hang Su
Xingxing Zhang
Jun Zhu
32
4
0
23 May 2024
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
Christopher Rawles
Sarah Clinckemaillie
Yifan Chang
Jonathan Waltz
Gabrielle Lau
...
Daniel Toyama
Robert Berry
Divya Tyamagundlu
Timothy Lillicrap
Oriana Riva
LLMAG
69
44
0
23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
82
45
0
23 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
43
1
0
20 May 2024
Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice
Yusheng Jiao
Feng Ling
Sina Heydari
N. Heess
J. Merel
Eva Kanso
31
0
0
19 May 2024
PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations
Luke Bhan
Yuexin Bian
Miroslav Krstic
Yuanyuan Shi
OOD
AI4CE
27
6
0
18 May 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations
Arushi Jain
Josiah P. Hanna
Doina Precup
36
1
0
13 May 2024
Learning Latent Dynamic Robust Representations for World Models
Ruixiang Sun
Hongyu Zang
Xin-hui Li
Riashat Islam
39
5
0
10 May 2024
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond
Zheng Zhu
Xiaofeng Wang
Wangbo Zhao
Chen Min
Nianchen Deng
...
Dawei Zhao
Liang Xiao
Jian-jun Zhao
Jiwen Lu
Guan Huang
VGen
LM&Ro
87
38
0
06 May 2024
CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
David Valencia
Henry Williams
Trevor Gee
Bruce A MacDonaland
Minas V. Liarokapis
Minas Liarokapis
OffRL
37
2
0
04 May 2024
Imitation Learning: A Survey of Learning Methods, Environments and Metrics
Nathan Gavenski
Odinaldo Rodrigues
Michael Luck
35
135
0
30 Apr 2024
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
Chenjia Bai
Lingxiao Wang
Jianye Hao
Zhuoran Yang
Bin Zhao
Zhen Wang
Xuelong Li
OffRL
37
9
0
30 Apr 2024
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Calarina Muslimani
Matthew E. Taylor
OffRL
46
2
0
30 Apr 2024
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey
Dingzhe Li
Yixiang Jin
A. Yong
Hongze Yu
Jun Shi
Xiaoshuai Hao
Peng Hao
Huaping Liu
Gang Hua
Bin Fang
AI4CE
LM&Ro
72
13
0
28 Apr 2024
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Sergio A. Serrano
J. Martínez-Carranza
L. Sucar
36
0
0
26 Apr 2024
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