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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
    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
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
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
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
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
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
Efficient World Models with Context-Aware Tokenization
Vincent Micheli
Eloi Alonso
François Fleuret
OffRL
VLM
34
6
0
27 Jun 2024
Video Occupancy Models
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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