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Self-supervised Visual Reinforcement Learning with Object-centric
  Representations

Self-supervised Visual Reinforcement Learning with Object-centric Representations

29 November 2020
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
    SSL
    OCL
ArXivPDFHTML

Papers citing "Self-supervised Visual Reinforcement Learning with Object-centric Representations"

30 / 30 papers shown
Title
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
Aniket Didolkar
Andrii Zadaianchuk
Rabiul Awal
Maximilian Seitzer
E. Gavves
Aishwarya Agrawal
OCL
VLM
89
2
0
27 Mar 2025
Object-Centric Pretraining via Target Encoder Bootstrapping
Object-Centric Pretraining via Target Encoder Bootstrapping
Nikola Đukić
Tim Lebailly
Tinne Tuytelaars
OCL
73
0
0
19 Mar 2025
Object-Centric World Model for Language-Guided Manipulation
Youngjoon Jeong
Junha Chun
S. Cha
Taesup Kim
OCL
VGen
144
1
0
08 Mar 2025
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Cansu Sancaktar
Christian Gumbsch
Andrii Zadaianchuk
Pavel Kolev
Georg Martius
LM&Ro
VLM
61
1
0
03 Mar 2025
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
Zizhao Wang
Jiaheng Hu
Caleb Chuck
Stephen Chen
Roberto Martin-Martin
Amy Zhang
S. Niekum
Peter Stone
OffRL
56
0
0
24 Oct 2024
Object-Centric Temporal Consistency via Conditional Autoregressive
  Inductive Biases
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
41
2
0
21 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
D. Dhami
Kristian Kersting
41
3
0
15 Oct 2024
Zero-Shot Object-Centric Representation Learning
Zero-Shot Object-Centric Representation Learning
Aniket Didolkar
Andrii Zadaianchuk
Anirudh Goyal
Mike Mozer
Yoshua Bengio
Georg Martius
Maximilian Seitzer
VLM
OCL
37
4
0
17 Aug 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving
  Robustness in Reinforcement Learning
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Inwoo Hwang
Yunhyeok Kwak
Suhyung Choi
Byoung-Tak Zhang
Sanghack Lee
40
1
0
05 Jun 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object
  Discovery
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
Anand Gopalakrishnan
Aleksandar Stanić
Jürgen Schmidhuber
M. C. Mozer
45
5
0
27 May 2024
Learning Causal Dynamics Models in Object-Oriented Environments
Learning Causal Dynamics Models in Object-Oriented Environments
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
38
1
0
21 May 2024
Unsupervised Dynamics Prediction with Object-Centric Kinematics
Unsupervised Dynamics Prediction with Object-Centric Kinematics
Yeon-Ji Song
Suhyung Choi
Jaein Kim
Jin-Hwa Kim
Byoung-Tak Zhang
41
0
0
29 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from
  Pixels
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati
Tal Daniel
Aviv Tamar
LM&Ro
OffRL
OCL
34
10
0
01 Apr 2024
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement
  Learning
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
Zhaohui Jiang
Paul Weng
OffRL
23
0
0
10 Jan 2024
Consciousness-Inspired Spatio-Temporal Abstractions for Better
  Generalization in Reinforcement Learning
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
Mingde Zhao
Safa Alver
H. V. Seijen
Romain Laroche
Doina Precup
Yoshua Bengio
15
3
0
30 Sep 2023
Learning Dynamic Attribute-factored World Models for Efficient
  Multi-object Reinforcement Learning
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
Fan Feng
Sara Magliacane
OffRL
OCL
36
11
0
18 Jul 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal
  Feature Similarities
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
OCL
23
38
0
07 Jun 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Ziyi Wu
Jingyu Hu
Wuyue Lu
Igor Gilitschenski
Animesh Garg
DiffM
OCL
33
44
0
18 May 2023
Discovering Object-Centric Generalized Value Functions From Pixels
Discovering Object-Centric Generalized Value Functions From Pixels
Somjit Nath
G. Subbaraj
Khimya Khetarpal
Samira Ebrahimi Kahou
OCL
28
2
0
27 Apr 2023
An Investigation into Pre-Training Object-Centric Representations for
  Reinforcement Learning
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
Jaesik Yoon
Yi-Fu Wu
Heechul Bae
Sungjin Ahn
OCL
27
40
0
09 Feb 2023
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief
  Review
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review
Artem Latyshev
Aleksandr I. Panov
31
1
0
24 Jan 2023
Object-Category Aware Reinforcement Learning
Object-Category Aware Reinforcement Learning
Qi Yi
Rui Zhang
Shaohui Peng
Jiaming Guo
Xingui Hu
Zidong Du
Xishan Zhang
Qi Guo
Yunji Chen
CML
LRM
18
6
0
13 Oct 2022
Bridging the Gap to Real-World Object-Centric Learning
Bridging the Gap to Real-World Object-Centric Learning
Maximilian Seitzer
Max Horn
Andrii Zadaianchuk
Dominik Zietlow
Tianjun Xiao
...
Tong He
Zheng-Wei Zhang
Bernhard Schölkopf
Thomas Brox
Francesco Locatello
OCL
39
139
0
29 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
12
0
05 Aug 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Bruno Sauvalle
A. de La Fortelle
3DPC
49
12
0
26 May 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation
  Networks
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
33
17
0
31 Jan 2022
Object-Centric Representation Learning with Generative Spatial-Temporal
  Factorization
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Nanbo Li
Muhammad Ahmed Raza
Wenbin Hu
Zhaole Sun
Robert B. Fisher
OCL
21
14
0
09 Nov 2021
Self-supervised Reinforcement Learning with Independently Controllable
  Subgoals
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Andrii Zadaianchuk
Georg Martius
Fanny Yang
SSL
64
16
0
09 Sep 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
Johan Bjorck
Carla P. Gomes
Kilian Q. Weinberger
14
23
0
02 Jun 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
254
0
09 Dec 2020
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