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MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
v1v2v3 (latest)

MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning

5 April 2025
Shiguang Sun
Hanbo Zhang
Zeyang Liu
Xinrui Yang
Lipeng Wan
Bing Yan
Xingyu Chen
ArXiv (abs)PDFHTML

Papers citing "MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning"

50 / 58 papers shown
Title
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning
Kyungsoo Kim
Jeongsoo Ha
Yusung Kim
BDL
45
7
0
05 Jun 2025
Learning Latent Dynamic Robust Representations for World Models
Learning Latent Dynamic Robust Representations for World Models
Ruixiang Sun
Hongyu Zang
Xin-hui Li
Riashat Islam
71
5
0
10 May 2024
Mitigating the Impact of False Negatives in Dense Retrieval with
  Contrastive Confidence Regularization
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization
Shiqi Wang
Yeqin Zhang
Cam-Tu Nguyen
91
2
0
30 Dec 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing
  Posterior Predictability
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu
Max Simchowitz
Siri Gadipudi
Abhishek Gupta
98
14
0
31 Aug 2023
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method
  and Contrastive Learning
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning
Mostafa Kotb
C. Weber
S. Wermter
67
4
0
07 Mar 2023
Robust Representation Learning by Clustering with Bisimulation Metrics
  for Visual Reinforcement Learning with Distractions
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
Qiyuan Liu
Qi Zhou
Rui Yang
Jie Wang
OffRLOOD
503
15
0
12 Feb 2023
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu
Fanbo Xiang
Xuanlin Li
Z. Ling
Xiqiang Liu
...
Xiao Yuan
P. Xie
Zhiao Huang
Rui Chen
Hao Su
120
189
0
09 Feb 2023
Mastering Diverse Domains through World Models
Mastering Diverse Domains through World Models
Danijar Hafner
J. Pašukonis
Jimmy Ba
Timothy Lillicrap
94
616
0
10 Jan 2023
Temporal Disentanglement of Representations for Improved Generalisation
  in Reinforcement Learning
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OODDRL
81
18
0
12 Jul 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in
  World Models
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models
Minting Pan
Xiangming Zhu
Yunbo Wang
Xiaokang Yang
103
42
0
27 May 2022
Task-Induced Representation Learning
Task-Induced Representation Learning
Jun Yamada
Karl Pertsch
Anisha Gunjal
Joseph J. Lim
SSL
62
13
0
25 Apr 2022
Masked Visual Pre-training for Motor Control
Masked Visual Pre-training for Motor Control
Tete Xiao
Ilija Radosavovic
Trevor Darrell
Jitendra Malik
SSL
116
250
0
11 Mar 2022
Temporal Difference Learning for Model Predictive Control
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen
Xiaolong Wang
H. Su
PINNMU
99
255
0
09 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without
  Reconstruction
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
Masashi Okada
T. Taniguchi
3DVOffRL
103
24
0
01 Mar 2022
Mask-based Latent Reconstruction for Reinforcement Learning
Mask-based Latent Reconstruction for Reinforcement Learning
Tao Yu
Zhizheng Zhang
Cuiling Lan
Yan Lu
Zhibo Chen
103
45
0
28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
600
7,866
0
11 Nov 2021
Mastering Atari Games with Limited Data
Mastering Atari Games with Limited Data
Weirui Ye
Shao-Wei Liu
Thanard Kurutach
Pieter Abbeel
Yang Gao
VLM
149
242
0
30 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with
  Prototypical Representations
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng
Ingook Jang
Sungjin Ahn
VLM
79
62
0
27 Oct 2021
Mastering Visual Continuous Control: Improved Data-Augmented
  Reinforcement Learning
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
OffRL
133
351
0
20 Jul 2021
Learning Task Informed Abstractions
Learning Task Informed Abstractions
Xiang Fu
Ge Yang
Pulkit Agrawal
Tommi Jaakkola
110
69
0
29 Jun 2021
Model-Based Reinforcement Learning via Latent-Space Collocation
Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin
Chuning Zhu
Anusha Nagabandi
Kostas Daniilidis
Igor Mordatch
Sergey Levine
OffRL
73
38
0
24 Jun 2021
Incremental False Negative Detection for Contrastive Learning
Incremental False Negative Detection for Contrastive Learning
Tsai-Shien Chen
Wei-Chih Hung
Hung-Yu Tseng
Shao-Yi Chien
Ming-Hsuan Yang
SSLCLL
91
62
0
07 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
923
6,149
0
29 Apr 2021
Solving Inefficiency of Self-supervised Representation Learning
Solving Inefficiency of Self-supervised Representation Learning
Guangrun Wang
Keze Wang
Guangcong Wang
Philip Torr
Liang Lin
SSL
76
58
0
18 Apr 2021
Offline Reinforcement Learning from Images with Latent Space Models
Offline Reinforcement Learning from Images with Latent Space Models
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
OffRL
86
129
0
21 Dec 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
291
4,082
0
20 Nov 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
161
789
0
09 Oct 2020
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
181
875
0
05 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
144
647
0
02 Oct 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSLDRL
378
345
0
14 Sep 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination
  without Reconstruction
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
Masashi Okada
T. Taniguchi
OffRL
116
84
0
29 Jul 2020
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
136
569
0
01 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
342
4,109
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
475
6,864
0
13 Jun 2020
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
165
661
0
30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
177
794
0
28 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSLDRLOffRL
142
1,094
0
08 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
431
18,968
0
13 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
185
1,376
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
272
12,164
0
13 Nov 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
129
963
0
19 Jun 2019
On Variational Bounds of Mutual Information
On Variational Bounds of Mutual Information
Ben Poole
Sherjil Ozair
Aaron van den Oord
Alexander A. Alemi
George Tucker
SSL
135
816
0
16 May 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for
  Vision-Based Robotic Control
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
F. Ebert
Chelsea Finn
Sudeep Dasari
Annie Xie
Alex X. Lee
Sergey Levine
SSL
120
392
0
03 Dec 2018
Natural Environment Benchmarks for Reinforcement Learning
Natural Environment Benchmarks for Reinforcement Learning
Amy Zhang
Yuxin Wu
Joelle Pineau
OffRLOOD
69
69
0
14 Nov 2018
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
158
1,450
0
12 Nov 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
422
10,386
0
10 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value
  Expansion
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman
Danijar Hafner
George Tucker
E. Brevdo
Honglak Lee
97
333
0
04 Jul 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
184
1,102
0
27 Mar 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement
  Learning
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Vladimir Feinberg
Alvin Wan
Ion Stoica
Michael I. Jordan
Joseph E. Gonzalez
Sergey Levine
OffRL
72
317
0
28 Feb 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
335
5,244
0
26 Feb 2018
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