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1906.08226
Cited By
Unsupervised State Representation Learning in Atari
19 June 2019
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
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Papers citing
"Unsupervised State Representation Learning in Atari"
50 / 173 papers shown
Title
Much Easier Said Than Done: Falsifying the Causal Relevance of Linear Decoding Methods
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Abhijit Suresh
Hunar Jain
Rahul Kumar
R. M. Carter
FAtt
30
1
0
08 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
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AI4CE
26
23
0
08 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Riashat Islam
Hongyu Zang
Anirudh Goyal
Alex Lamb
Kenji Kawaguchi
Xin-hui Li
Romain Laroche
Yoshua Bengio
Rémi Tachet des Combes
OffRL
AI4CE
23
9
0
01 Nov 2022
Evaluating Long-Term Memory in 3D Mazes
J. Pašukonis
Timothy Lillicrap
Danijar Hafner
3DV
19
21
0
24 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
Yanfei Xiang
Xin Wang
Shu Hu
Bin Zhu
Xiaomeng Huang
Xi Wu
Siwei Lyu
SSL
29
5
0
20 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
48
10
0
15 Oct 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
Shaohui Peng
Xin Hu
Rui Zhang
Ke Tang
Jiaming Guo
...
Xishan Zhang
Zidong Du
Ling Li
Qi Guo
Yunji Chen
21
22
0
13 Oct 2022
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
Chen Sun
Wannan Yang
Thomas Jiralerspong
Dane Malenfant
Benjamin Alsbury-Nealy
Yoshua Bengio
Blake A. Richards
OffRL
17
2
0
12 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
38
26
0
10 Oct 2022
LOPR: Latent Occupancy PRediction using Generative Models
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
AI4CE
46
5
0
03 Oct 2022
Contrastive Unsupervised Learning of World Model with Invariant Causal Features
Rudra P. K. Poudel
Harit Pandya
R. Cipolla
SSL
CML
13
3
0
29 Sep 2022
Learn what matters: cross-domain imitation learning with task-relevant embeddings
Tim Franzmeyer
Philip Torr
João F. Henriques
OOD
31
20
0
24 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
38
6
0
22 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
S. Rezaei-Shoshtari
Rosie Zhao
Prakash Panangaden
D. Meger
Doina Precup
33
18
0
15 Sep 2022
Sparsity Inducing Representations for Policy Decompositions
Ashwin Khadke
H. Geyer
16
1
0
15 Sep 2022
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning
Bang You
Jingming Xie
Youping Chen
Jan Peters
O. Arenz
16
2
0
12 Sep 2022
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
A. Fedorov
Eloy P. T. Geenjaar
Lei Wu
Tristan Sylvain
T. DeRamus
Margaux Luck
Maria B. Misiura
R. Devon Hjelm
Sergey Plis
Vince D. Calhoun
19
3
0
07 Sep 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
N. Botteghi
M. Poel
C. Brune
SSL
OffRL
33
10
0
27 Aug 2022
Light-weight probing of unsupervised representations for Reinforcement Learning
Wancong Zhang
Anthony GX-Chen
Vlad Sobal
Yann LeCun
Nicolas Carion
SSL
OffRL
41
13
0
25 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
Shuang Qiu
Lingxiao Wang
Chenjia Bai
Zhuoran Yang
Zhaoran Wang
SSL
OffRL
26
32
0
29 Jul 2022
Is an Object-Centric Video Representation Beneficial for Transfer?
Chuhan Zhang
Ankush Gupta
Andrew Zisserman
ViT
37
27
0
20 Jul 2022
Learning Bellman Complete Representations for Offline Policy Evaluation
Jonathan D. Chang
Kaiwen Wang
Nathan Kallus
Wen Sun
OffRL
29
14
0
12 Jul 2022
Game State Learning via Game Scene Augmentation
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
19
2
0
04 Jul 2022
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
93
146
0
28 Jun 2022
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning
Trevor A. McInroe
Lukas Schafer
Stefano V. Albrecht
24
4
0
22 Jun 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
Haoqi Yuan
Zongqing Lu
SSL
OffRL
30
36
0
21 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
28
139
0
15 Jun 2022
Visual Radial Basis Q-Network
Julien Hautot
Céline Teulière
Nourddine Azzaoui
OffRL
11
1
0
14 Jun 2022
Learning Task-Independent Game State Representations from Unlabeled Images
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
SSL
16
6
0
13 Jun 2022
Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training
T. Barak
Y. Loewenstein
11
0
0
04 May 2022
Offline Visual Representation Learning for Embodied Navigation
Karmesh Yadav
Ram Ramrakhya
Arjun Majumdar
Vincent-Pierre Berges
Sachit Kuhar
Dhruv Batra
Alexei Baevski
Oleksandr Maksymets
OffRL
SSL
33
72
0
27 Apr 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Philippe Hansen-Estruch
Amy Zhang
Ashvin Nair
Patrick Yin
Sergey Levine
AI4CE
29
27
0
27 Apr 2022
Learning Symmetric Embeddings for Equivariant World Models
Jung Yeon Park
Ondrej Biza
Linfeng Zhao
Jan-Willem van de Meent
Robin G. Walters
28
42
0
24 Apr 2022
Temporal Alignment for History Representation in Reinforcement Learning
Aleksandr Ermolov
E. Sangineto
N. Sebe
AI4TS
21
2
0
07 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks
Zehua Wang
Guogang Liao
Xiaowen Shi
Xiaoxu Wu
Chuheng Zhang
Yongkang Wang
Xingxing Wang
Dong Wang
OffRL
19
4
0
02 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
18
117
0
25 Mar 2022
The Sandbox Environment for Generalizable Agent Research (SEGAR)
R. Devon Hjelm
Bogdan Mazoure
Florian Golemo
Felipe Vieira Frujeri
Mihai Jalobeanu
Andrey Kolobov
LLMAG
LRM
21
1
0
19 Mar 2022
Towards Self-Supervised Learning of Global and Object-Centric Representations
Federico Baldassarre
Hossein Azizpour
SSL
3DPC
OCL
35
13
0
11 Mar 2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images
Bang You
O. Arenz
Youping Chen
Jan Peters
11
18
0
02 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural General Intelligence Team
Avishkar Bhoopchand
Bethanie Brownfield
Adrian Collister
Agustin Dal Lago
...
Alex Platonov
Evan Senter
Sukhdeep Singh
Alexander Zacherl
Lei M. Zhang
VLM
44
11
0
01 Mar 2022
Mask-based Latent Reconstruction for Reinforcement Learning
Tao Yu
Zhizheng Zhang
Cuiling Lan
Yan Lu
Zhibo Chen
24
44
0
28 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang
Jiacheng Wang
Xiao Chen
34
4
0
18 Jan 2022
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning
Hongyu Zang
Xin Li
Mingzhong Wang
30
13
0
31 Dec 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee
Kibok Lee
Kimin Lee
Honglak Lee
Jinwoo Shin
SSL
26
51
0
18 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models
Ankesh Anand
Jacob Walker
Yazhe Li
Eszter Vértes
Julian Schrittwieser
Sherjil Ozair
T. Weber
Jessica B. Hamrick
31
30
0
02 Nov 2021
Multi network InfoMax: A pre-training method involving graph convolutional networks
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
AI4CE
14
1
0
01 Nov 2021
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang
Xiaoyu Chen
Li Zhao
Wei Xiong
Tao Qin
Tie-Yan Liu
OffRL
15
19
0
26 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu
Hao Shen
Donglin Wang
Yachen Kang
Qiangxing Tian
27
19
0
25 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners
Andreea Deac
Petar Velivcković
Ognjen Milinković
Pierre-Luc Bacon
Jian Tang
Mladen Nikolic
OffRL
32
23
0
11 Oct 2021
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