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2011.14381
Cited By
Self-supervised Visual Reinforcement Learning with Object-centric Representations
International Conference on Learning Representations (ICLR), 2020
29 November 2020
Antonios Tragoudaras
Maximilian Seitzer
Georg Martius
SSL
OCL
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Papers citing
"Self-supervised Visual Reinforcement Learning with Object-centric Representations"
32 / 32 papers shown
Learning Interactive World Model for Object-Centric Reinforcement Learning
Fan Feng
Phillip Lippe
Sara Magliacane
OffRL
OCL
397
3
0
04 Nov 2025
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
Computer Vision and Pattern Recognition (CVPR), 2025
Aniket Didolkar
Antonios Tragoudaras
Rabiul Awal
Maximilian Seitzer
E. Gavves
Aishwarya Agrawal
OCL
VLM
488
9
0
27 Mar 2025
Object-Centric Pretraining via Target Encoder Bootstrapping
International Conference on Learning Representations (ICLR), 2025
Nikola Đukić
Tim Lebailly
Tinne Tuytelaars
OCL
320
3
0
19 Mar 2025
Object-Centric World Model for Language-Guided Manipulation
Youngjoon Jeong
Junha Chun
S. Cha
Taesup Kim
OCL
VGen
953
11
0
08 Mar 2025
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Cansu Sancaktar
Christian Gumbsch
Antonios Tragoudaras
Pavel Kolev
Georg Martius
LM&Ro
VLM
910
4
0
03 Mar 2025
Object-centric proto-symbolic behavioural reasoning from pixels
R. S. V. Bergen
Justus F. Hübotter
Pablo Lanillos
Pablo Lanillos
LM&Ro
OCL
623
2
0
26 Nov 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
Neural Information Processing Systems (NeurIPS), 2024
Zizhao Wang
Jiaheng Hu
Caleb Chuck
Stephen Chen
Roberto Martín-Martín
Amy Zhang
S. Niekum
Peter Stone
OffRL
351
12
0
24 Oct 2024
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
Cristian Meo
Akihiro Nakano
Mircea Lica
Aniket Didolkar
Masahiro Suzuki
Anirudh Goyal
Mengmi Zhang
Justin Dauwels
Y. Matsuo
Yoshua Bengio
OCL
336
4
0
21 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
International Conference on Learning Representations (ICLR), 2024
Hikaru Shindo
Quentin Delfosse
Devendra Singh Dhami
Kristian Kersting
515
14
0
15 Oct 2024
Zero-Shot Object-Centric Representation Learning
Aniket Didolkar
Antonios Tragoudaras
Anirudh Goyal
Mike Mozer
Yoshua Bengio
Georg Martius
Maximilian Seitzer
VLM
OCL
374
20
0
17 Aug 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Inwoo Hwang
Yunhyeok Kwak
Jaein Kim
Byoung-Tak Zhang
Sanghack Lee
362
7
0
05 Jun 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
Anand Gopalakrishnan
Aleksandar Stanić
Jürgen Schmidhuber
M. C. Mozer
415
8
0
27 May 2024
Learning Causal Dynamics Models in Object-Oriented Environments
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
263
4
0
21 May 2024
OCK: Unsupervised Dynamic Video Prediction with Object-Centric Kinematics
Yeon-Ji Song
Jaein Kim
Suhyung Choi
Jin-Hwa Kim
Byoung-Tak Zhang
379
0
0
29 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati
Tal Daniel
Aviv Tamar
LM&Ro
OffRL
OCL
295
29
0
01 Apr 2024
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
Zhaohui Jiang
Paul Weng
OffRL
225
0
0
10 Jan 2024
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Mingde Zhao
Safa Alver
H. V. Seijen
Romain Laroche
Doina Precup
Yoshua Bengio
561
5
0
30 Sep 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Fan Feng
Sara Magliacane
OffRL
OCL
286
16
0
18 Jul 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Neural Information Processing Systems (NeurIPS), 2023
Antonios Tragoudaras
Maximilian Seitzer
Georg Martius
OCL
534
73
0
07 Jun 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Ziyi Wu
Jingyu Hu
Wuyue Lu
Igor Gilitschenski
Animesh Garg
DiffM
OCL
537
84
0
18 May 2023
Discovering Object-Centric Generalized Value Functions From Pixels
International Conference on Machine Learning (ICML), 2023
Somjit Nath
G. Subbaraj
Khimya Khetarpal
Samira Ebrahimi Kahou
OCL
420
2
0
27 Apr 2023
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Jaesik Yoon
Yi-Fu Wu
Heechul Bae
Sungjin Ahn
OCL
419
58
0
09 Feb 2023
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review
Scientific and Technical Information Processing (STIP), 2023
Artem Latyshev
Aleksandr I. Panov
306
4
0
24 Jan 2023
Object-Category Aware Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Qi Yi
Rui Zhang
Shaohui Peng
Jiaming Guo
Xingui Hu
Zidong Du
Xishan Zhang
Qi Guo
Yunji Chen
CML
LRM
219
7
0
13 Oct 2022
Bridging the Gap to Real-World Object-Centric Learning
International Conference on Learning Representations (ICLR), 2022
Maximilian Seitzer
Max Horn
Antonios Tragoudaras
Dominik Zietlow
Tianjun Xiao
...
Tong He
Zheng Zhang
Bernhard Schölkopf
Thomas Brox
Francesco Locatello
OCL
441
219
0
29 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
IEEE Transactions on Games (IEEE Trans. Games), 2022
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
322
16
0
05 Aug 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Bruno Sauvalle
A. de La Fortelle
3DPC
344
12
0
26 May 2022
Policy Architectures for Compositional Generalization in Control
Allan Zhou
Vikash Kumar
Chelsea Finn
Aravind Rajeswaran
231
30
0
10 Mar 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
283
21
0
31 Jan 2022
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Neural Information Processing Systems (NeurIPS), 2021
Nanbo Li
Muhammad Ahmed Raza
Wenbin Hu
Zhaole Sun
Robert B. Fisher
OCL
207
15
0
09 Nov 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Conference on Robot Learning (CoRL), 2021
Antonios Tragoudaras
Georg Martius
Fanny Yang
SSL
307
21
0
09 Sep 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
Neural Information Processing Systems (NeurIPS), 2021
Johan Bjorck
Daniel Schwalbe-Koda
Kilian Q. Weinberger
407
26
0
02 Jun 2021
1
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