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The Distracting Control Suite -- A Challenging Benchmark for
  Reinforcement Learning from Pixels

The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels

7 January 2021
Austin Stone
Oscar Ramirez
K. Konolige
Rico Jonschkowski
ArXivPDFHTML

Papers citing "The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels"

27 / 27 papers shown
Title
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin
Trevor A. McInroe
Pablo Samuel Castro
Prakash Panangaden
Christopher G. Lucas
David Abel
Stefano V. Albrecht
53
0
0
08 Mar 2025
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Bryan L. M. de Oliveira
Murilo L. da Luz
Bruno Brandão
Luana G. B. Martins
Telma W. de L. Soares
L. Melo
OffRL
70
1
0
17 Feb 2025
State Chrono Representation for Enhancing Generalization in
  Reinforcement Learning
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen
Wen Zheng Terence Ng
Zichen Chen
Sinno Jialin Pan
Tianwei Zhang
OffRL
35
0
0
09 Nov 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
S. Batra
Gaurav Sukhatme
OffRL
DRL
31
1
0
09 Oct 2024
DEAR: Disentangled Environment and Agent Representations for
  Reinforcement Learning without Reconstruction
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction
Ameya Pore
Riccardo Muradore
Diego DallÁlba
DRL
34
1
0
30 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
31
0
0
30 May 2024
Benchmarking Mobile Device Control Agents across Diverse Configurations
Benchmarking Mobile Device Control Agents across Diverse Configurations
Juyong Lee
Taywon Min
Minyong An
Changyeon Kim
Kimin Lee
36
9
0
25 Apr 2024
Closing the Gap between TD Learning and Supervised Learning -- A
  Generalisation Point of View
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
Raj Ghugare
Matthieu Geist
Glen Berseth
Benjamin Eysenbach
OffRL
29
14
0
20 Jan 2024
Bridging State and History Representations: Understanding
  Self-Predictive RL
Bridging State and History Representations: Understanding Self-Predictive RL
Tianwei Ni
Benjamin Eysenbach
Erfan Seyedsalehi
Michel Ma
Clement Gehring
Aditya Mahajan
Pierre-Luc Bacon
AI4TS
AI4CE
22
20
0
17 Jan 2024
Amortized Network Intervention to Steer the Excitatory Point Processes
Amortized Network Intervention to Steer the Excitatory Point Processes
Zitao Song
Wendi Ren
Sourav Garg
21
1
0
06 Oct 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing
  Posterior Predictability
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu
Max Simchowitz
Siri Gadipudi
Abhishek Gupta
43
13
0
31 Aug 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep
  Reinforcement Learning
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning
Md Masudur Rahman
Yexiang Xue
29
4
0
29 Aug 2023
Decomposing the Generalization Gap in Imitation Learning for Visual
  Robotic Manipulation
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie
Lisa Lee
Ted Xiao
Chelsea Finn
23
54
0
07 Jul 2023
Simplified Temporal Consistency Reinforcement Learning
Simplified Temporal Consistency Reinforcement Learning
Yi Zhao
Wenshuai Zhao
Rinu Boney
Arno Solin
Joni Pajarinen
OffRL
30
12
0
15 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
Tom Dupuis
Jaonary Rabarisoa
Q. C. Pham
David Filliat
36
0
0
14 Jun 2023
A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
35
26
0
10 Oct 2022
Look where you look! Saliency-guided Q-networks for generalization in
  visual Reinforcement Learning
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
David Bertoin
Adil Zouitine
Mehdi Zouitine
Emmanuel Rachelson
36
30
0
16 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World
  Survival Game Crafter
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
29
13
0
05 Aug 2022
Learning Task-relevant Representations for Generalization via
  Characteristic Functions of Reward Sequence Distributions
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
31
20
0
20 May 2022
Invariance Through Latent Alignment
Invariance Through Latent Alignment
Takuma Yoneda
Ge Yang
Matthew R. Walter
Bradly C. Stadie
OOD
21
9
0
15 Dec 2021
Which priors matter? Benchmarking models for learning latent dynamics
Which priors matter? Benchmarking models for learning latent dynamics
Aleksandar Botev
Andrew Jaegle
Peter Wirnsberger
Daniel Hennes
I. Higgins
AI4CE
32
28
0
09 Nov 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with
  Prototypical Representations
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng
Ingook Jang
Sungjin Ahn
VLM
29
62
0
27 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han
Chongyi Zheng
Harris Chan
Keiran Paster
Michael Ruogu Zhang
Jimmy Ba
OOD
AI4CE
20
13
0
27 Oct 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
  Partial Observability
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
275
109
0
13 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
26
133
0
01 Jul 2021
A Geometric Perspective on Self-Supervised Policy Adaptation
A Geometric Perspective on Self-Supervised Policy Adaptation
Cristian Bodnar
Karol Hausman
Gabriel Dulac-Arnold
Rico Jonschkowski
SSL
38
5
0
14 Nov 2020
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
229
809
0
13 Nov 2016
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