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1802.09484
Cited By
Disentangling the independently controllable factors of variation by interacting with the world
26 February 2018
Valentin Thomas
Emmanuel Bengio
W. Fedus
Jules Pondard
Philippe Beaudoin
Hugo Larochelle
Joelle Pineau
Doina Precup
Yoshua Bengio
DRL
CoGe
CML
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Papers citing
"Disentangling the independently controllable factors of variation by interacting with the world"
42 / 42 papers shown
From Pixels to Factors: Learning Independently Controllable State Variables for Reinforcement Learning
Rafael Rodríguez-Sánchez
Cameron Allen
George Konidaris
OffRL
196
2
0
02 Oct 2025
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
AI4CE
396
14
0
30 Mar 2025
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
265
4
0
30 Jun 2024
Memory Mosaics
International Conference on Learning Representations (ICLR), 2024
Jianyu Zhang
Niklas Nolte
Ranajoy Sadhukhan
Beidi Chen
Léon Bottou
VLM
408
8
0
10 May 2024
Algebras of actions in an agent's representations of the world
Artificial Intelligence (AIJ), 2023
Alexander Dean
Eduardo Alonso
Esther Mondragón
292
0
0
02 Oct 2023
Reinforcement Learning with Exogenous States and Rewards
George Trimponias
Thomas G. Dietterich
OffRL
201
2
0
22 Mar 2023
Gromov-Wasserstein Autoencoders
International Conference on Learning Representations (ICLR), 2022
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
GAN
DRL
252
16
0
15 Sep 2022
elBERto: Self-supervised Commonsense Learning for Question Answering
Knowledge-Based Systems (KBS), 2022
Xunlin Zhan
Yuan Li
Xiao Dong
Xiaodan Liang
Zhiting Hu
Lawrence Carin
SSL
RALM
LRM
184
9
0
17 Mar 2022
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning
Constantinos Chamzas
M. Lippi
Michael C. Welle
Anastasia Varava
Lydia E. Kavraki
Danica Kragic
SSL
DRL
OffRL
189
5
0
14 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Conference on Robot Learning (CoRL), 2021
Antonios Tragoudaras
Georg Martius
Fanny Yang
SSL
240
19
0
09 Sep 2021
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Sai Li
CML
238
89
0
08 Sep 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
188
8
0
26 Jun 2021
Measuring Disentanglement: A Review of Metrics
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
M. Carbonneau
Julian Zaïdi
Jonathan Boilard
G. Gagnon
CoGe
DRL
286
102
0
16 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations
International Conference on Learning Representations (ICLR), 2020
Antonios Tragoudaras
Maximilian Seitzer
Georg Martius
SSL
OCL
224
49
0
29 Nov 2020
Affordance as general value function: A computational model
Adaptive Behavior (AB), 2020
D. Graves
Johannes Günther
Jun Luo
AI4CE
311
6
0
27 Oct 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation
Journal of machine learning research (JMLR), 2020
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
187
77
0
27 Oct 2020
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
Gabriele Pergola
Lin Gui
Yulan He
AAML
BDL
DRL
230
21
0
22 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
International Conference on Learning Representations (ICLR), 2020
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
305
258
0
04 Oct 2020
Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations
Ze Cheng
Juncheng Li
Chenxu Wang
Jixuan Gu
Hao Xu
Xinjian Li
Florian Metze
OOD
129
2
0
12 Sep 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
European Conference on Computer Vision (ECCV), 2020
Haoyun Liang
Zhihao Ouyang
Yuyuan Zeng
Hang Su
Zihao He
Shutao Xia
Jun Zhu
Bo Zhang
303
50
0
16 Jul 2020
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
OffRL
491
63
0
30 Jun 2020
From proprioception to long-horizon planning in novel environments: A hierarchical RL model
Nishad Gothoskar
Miguel Lázaro-Gredilla
Dileep George
110
0
0
11 Jun 2020
Stable Prediction via Leveraging Seed Variable
Kun Kuang
Yangqiu Song
Peng Cui
Yue Liu
Jianrong Tao
Yueting Zhuang
Leilei Gan
OOD
CML
148
6
0
09 Jun 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Masashi Okada
Norio Kosaka
T. Taniguchi
194
43
0
01 Mar 2020
Resolving Spurious Correlations in Causal Models of Environments via Interventions
S. Volodin
Nevan Wichers
Jeremy Nixon
CML
227
18
0
12 Feb 2020
Weakly-Supervised Disentanglement Without Compromises
International Conference on Machine Learning (ICML), 2020
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
666
347
0
07 Feb 2020
Operationally meaningful representations of physical systems in neural networks
Hendrik Poulsen Nautrup
Tony Metger
Raban Iten
Sofiene Jerbi
Lea M. Trenkwalder
H. Wilming
Hans J. Briegel
R. Renner
AI4CE
NAI
153
30
0
02 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
346
88
0
02 Jan 2020
Contrastive Learning of Structured World Models
International Conference on Learning Representations (ICLR), 2019
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
412
306
0
27 Nov 2019
Learning First-Order Symbolic Representations for Planning from the Structure of the State Space
European Conference on Artificial Intelligence (ECAI), 2019
Blai Bonet
Hector Geffner
NAI
240
59
0
12 Sep 2019
Dynamics-Aware Unsupervised Discovery of Skills
International Conference on Learning Representations (ICLR), 2019
Archit Sharma
S. Gu
Sergey Levine
Vikash Kumar
Karol Hausman
350
454
0
02 Jul 2019
On the Fairness of Disentangled Representations
Neural Information Processing Systems (NeurIPS), 2019
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaML
DRL
182
239
0
31 May 2019
Locality-Promoting Representation Learning
International Conference on Pattern Recognition (ICPR), 2019
Johannes Schneider
135
2
0
25 May 2019
The Journey is the Reward: Unsupervised Learning of Influential Trajectories
Jonathan Binas
Sherjil Ozair
Yoshua Bengio
SSL
68
4
0
22 May 2019
Disentangling Factors of Variation Using Few Labels
Francesco Locatello
Michael Tschannen
Stefan Bauer
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
DRL
CML
CoGe
204
128
0
03 May 2019
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
Jaroslav Vítků
Petr Dluhos
Joseph Davidson
Matej Nikl
Simon Andersson
...
Martin Stránský
M. Hyben
Martin Poliak
Jan Feyereisl
Marek Rosa
AI4CE
SSL
259
0
0
20 Mar 2019
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction
Bryan Lim
S. Zohren
Stephen J. Roberts
BDL
AI4TS
200
47
0
23 Jan 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
589
1,618
0
29 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional
β
β
β
-VAE for Deep Transparent Reinforcement Learning
John Yang
Gyujeong Lee
Minsung Hyun
Simyung Chang
Nojun Kwak
139
3
0
11 Nov 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Conference on Robot Learning (CoRL), 2018
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
DRL
217
89
0
04 Jul 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
212
10
0
19 Apr 2018
Music Style Transfer: A Position Paper
Shuqi Dai
Zheng Zhang
Gus G. Xia
439
55
0
19 Mar 2018
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