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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 / 172 papers shown
Title
Better Decisions through the Right Causal World Model
Elisabeth Dillies
Quentin Delfosse
Jannis Blüml
Raban Emunds
Florian Peter Busch
Kristian Kersting
34
0
0
09 Apr 2025
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games
Yifei Chen
Lambert Schomaker
37
0
0
17 Mar 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin
Trevor A. McInroe
P. S. Castro
Prakash Panangaden
Christopher G. Lucas
David Abel
Stefano V. Albrecht
51
0
0
08 Mar 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers
Bill Chunyuan Zheng
Anca Dragan
Kuan Fang
Sergey Levine
65
0
0
08 Feb 2025
Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report
Markus Dablander
73
0
0
18 Dec 2024
Beyond Outcomes: Transparent Assessment of LLM Reasoning in Games
Wenye Lin
Jonathan Roberts
Yunhan Yang
Samuel Albanie
Zongqing Lu
Kai Han
LRM
ELM
69
1
0
18 Dec 2024
Multimodal Information Bottleneck for Deep Reinforcement Learning with Multiple Sensors
Bang You
Huaping Liu
SSL
25
5
0
23 Oct 2024
World Model-based Perception for Visual Legged Locomotion
Hang Lai
Jiahang Cao
Jiafeng Xu
Hongtao Wu
Yunfeng Lin
Tao Kong
Yong Yu
Weinan Zhang
VGen
29
2
0
25 Sep 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
Yuan Xue
Nan Du
A. Mottram
Martin G. Seneviratne
Andrew M. Dai
AI4TS
23
0
0
28 Jul 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
Quentin Delfosse
Jannis Blüml
Bjarne Gregori
Kristian Kersting
31
7
0
06 Jun 2024
iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning
Aidan Scannell
Kalle Kujanpää
Yi Zhao
Mohammadreza Nakhaei
Arno Solin
J. Pajarinen
SSL
43
5
0
04 Jun 2024
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment
Tianyu Wang
Dwait Bhatt
Xiaolong Wang
Nikolay A. Atanasov
43
5
0
04 Jun 2024
Maximum Manifold Capacity Representations in State Representation Learning
Li Meng
Morten Goodwin
Anis Yazidi
P. Engelstad
44
0
0
22 May 2024
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning
Giuseppe Canonaco
Leo Ardon
Alberto Pozanco
Daniel Borrajo
OffRL
24
1
0
11 Apr 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
39
8
0
06 Mar 2024
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning
Alfredo Reichlin
Miguel Vasco
Hang Yin
Danica Kragic
OffRL
16
0
0
16 Feb 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Shuang Ma
Hal Daumé
Huazhe Xu
John Langford
Praveen Palanisamy
Kalyan Shankar Basu
Furong Huang
32
5
0
09 Feb 2024
Information-Theoretic State Variable Selection for Reinforcement Learning
Charles Westphal
Stephen Hailes
Mirco Musolesi
13
3
0
21 Jan 2024
Value Explicit Pretraining for Learning Transferable Representations
Kiran Lekkala
Henghui Bao
S. Sontakke
Laurent Itti
SSL
17
0
0
19 Dec 2023
ReCoRe: Regularized Contrastive Representation Learning of World Model
Rudra P. K. Poudel
Harit Pandya
Stephan Liwicki
Roberto Cipolla
DRL
OffRL
23
6
0
14 Dec 2023
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning
Zhiting Hu
Tianmin Shu
LLMAG
LM&Ro
LRM
102
34
0
08 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement
Lei Sha
Thomas Lukasiewicz
DRL
30
2
0
01 Dec 2023
LanGWM: Language Grounded World Model
Rudra P. K. Poudel
Harit Pandya
Chao Zhang
Roberto Cipolla
28
5
0
29 Nov 2023
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery
Ekaterina Nikonova
Cheng Xue
Jochen Renz
CLL
11
1
0
24 Nov 2023
Bird's Eye View Based Pretrained World model for Visual Navigation
Kiran Lekkala
Chen Liu
Laurent Itti
23
0
0
28 Oct 2023
Towards General Game Representations: Decomposing Games Pixels into Content and Style
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
OCL
30
3
0
20 Jul 2023
Learning Multi-Agent Communication with Contrastive Learning
Y. Lo
B. Sengupta
Jakob N. Foerster
Michael Noukhovitch
28
5
0
03 Jul 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Ruijie Zheng
Xiyao Wang
Yanchao Sun
Shuang Ma
Jieyu Zhao
Huazhe Xu
Hal Daumé
Furong Huang
43
35
0
22 Jun 2023
Improving Long-Horizon Imitation Through Instruction Prediction
Joey Hejna
Pieter Abbeel
Lerrel Pinto
11
7
0
21 Jun 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL
Gaspard Lambrechts
Adrien Bolland
D. Ernst
13
7
0
20 Jun 2023
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning
Anna Penzkofer
Simon Schaefer
Florian Strohm
Mihai Bâce
Stefan Leutenegger
Andreas Bulling
11
1
0
20 Jun 2023
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
Quentin Delfosse
Jannis Blüml
Bjarne Gregori
Sebastian Sztwiertnia
Kristian Kersting
40
17
0
14 Jun 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
Hojoon Lee
Ko-tik Lee
Dongyoon Hwang
Hyunho Lee
ByungKun Lee
Jaegul Choo
SSL
OOD
20
5
0
09 Jun 2023
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
Minting Pan
Yitao Zheng
Yunbo Wang
Xiaokang Yang
OffRL
21
0
0
06 Jun 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Scott Fujimoto
Wei-Di Chang
Edward James Smith
S. Gu
Doina Precup
D. Meger
OffRL
23
44
0
04 Jun 2023
State Representation Learning Using an Unbalanced Atlas
Li Meng
Morten Goodwin
Anis Yazidi
P. Engelstad
21
2
0
17 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Prakash Panangaden
S. Rezaei-Shoshtari
Rosie Zhao
D. Meger
Doina Precup
25
2
0
09 May 2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother
Joshua Greaves
Rishabh Agarwal
Charline Le Lan
Ross Goroshin
P. S. Castro
Marc G. Bellemare
30
25
0
25 Apr 2023
Accelerating exploration and representation learning with offline pre-training
Bogdan Mazoure
Jake Bruce
Doina Precup
Rob Fergus
Ankit Anand
OffRL
27
5
0
31 Mar 2023
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning
Mostafa Kotb
C. Weber
S. Wermter
30
4
0
07 Mar 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Matej Pecháč
M. Chovanec
Igor Farkaš
19
3
0
22 Feb 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
Yue Wu
Yewen Fan
Paul Pu Liang
A. Azaria
Yuan-Fang Li
Tom Michael Mitchell
OffRL
19
47
0
09 Feb 2023
Aligning Robot and Human Representations
Andreea Bobu
Andi Peng
Pulkit Agrawal
Julie A. Shah
Anca D. Dragan
45
10
0
03 Feb 2023
Mastering Diverse Domains through World Models
Danijar Hafner
J. Pašukonis
Jimmy Ba
Timothy Lillicrap
27
540
0
10 Jan 2023
Don't do it: Safer Reinforcement Learning With Rule-based Guidance
Ekaterina Nikonova
Cheng Xue
Jochen Renz
11
0
0
28 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents
Kunal Pratap Singh
Jordi Salvador
Luca Weihs
Aniruddha Kembhavi
SSL
21
3
0
01 Dec 2022
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation
Chia-Wen Kuo
Chih-Yao Ma
Judy Hoffman
Z. Kira
27
10
0
20 Nov 2022
Joint Embedding Predictive Architectures Focus on Slow Features
Vlad Sobal
V. JyothirS
Siddhartha Jalagam
Nicolas Carion
Kyunghyun Cho
Yann LeCun
11
8
0
20 Nov 2022
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse
Wolfgang Stammer
Thomas Rothenbacher
Dwarak Vittal
Kristian Kersting
OCL
37
20
0
16 Nov 2022
Much Easier Said Than Done: Falsifying the Causal Relevance of Linear Decoding Methods
L. Hayne
Abhijit Suresh
Hunar Jain
Rahul Kumar
R. M. Carter
FAtt
20
1
0
08 Nov 2022
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