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DreamingV2: Reinforcement Learning with Discrete World Models without
  Reconstruction

DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction

1 March 2022
Masashi Okada
T. Taniguchi
    3DV
    OffRL
ArXivPDFHTML

Papers citing "DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction"

15 / 15 papers shown
Title
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
Shiguang Sun
Hanbo Zhang
Zeyang Liu
Xinrui Yang
Lipeng Wan
Bing Yan
Xingyu Chen
Xuguang Lan
45
0
0
05 Apr 2025
Can Test-Time Scaling Improve World Foundation Model?
Can Test-Time Scaling Improve World Foundation Model?
Wenyan Cong
Hanqing Zhu
Peihao Wang
Bangya Liu
Dejia Xu
Kevin Wang
David Z. Pan
Yan Wang
Zhiwen Fan
Ziyi Wang
41
0
0
31 Mar 2025
Bootstrapped Model Predictive Control
Bootstrapped Model Predictive Control
Yuhang Wang
Hanwei Guo
Sizhe Wang
Long Qian
Xuguang Lan
64
0
0
24 Mar 2025
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
110
1
0
04 Mar 2025
Bounding-Box Inference for Error-Aware Model-Based Reinforcement
  Learning
Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning
Erin J. Talvitie
Zilei Shao
Huiying Li
Jinghan Hu
Jacob Boerma
Rory Zhao
Xintong Wang
OffRL
21
1
0
23 Jun 2024
MuDreamer: Learning Predictive World Models without Reconstruction
MuDreamer: Learning Predictive World Models without Reconstruction
Maxime Burchi
Radu Timofte
40
3
0
23 May 2024
Is Sora a World Simulator? A Comprehensive Survey on General World
  Models and Beyond
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond
Zheng Zhu
Xiaofeng Wang
Wangbo Zhao
Chen Min
Nianchen Deng
...
Dawei Zhao
Liang Xiao
Jian-jun Zhao
Jiwen Lu
Guan Huang
VGen
LM&Ro
87
38
0
06 May 2024
World Models for Autonomous Driving: An Initial Survey
World Models for Autonomous Driving: An Initial Survey
Yanchen Guan
Haicheng Liao
Zhenning Li
Jia Hu
Runze Yuan
Yunjian Li
Guohui Zhang
Chengzhong Xu
45
33
0
05 Mar 2024
Dream to Adapt: Meta Reinforcement Learning by Latent Context
  Imagination and MDP Imagination
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination
Lu Wen
Songan Zhang
E. Tseng
Huei Peng
VLM
OffRL
43
6
0
11 Nov 2023
World-Model-Based Control for Industrial box-packing of Multiple Objects
  using NewtonianVAE
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE
Yusuke Kato
Ryogo Okumura
T. Taniguchi
DRL
27
1
0
04 Aug 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4
Facing Off World Model Backbones: RNNs, Transformers, and S4
Fei Deng
Junyeong Park
Sungjin Ahn
37
25
0
05 Jul 2023
Combining Reconstruction and Contrastive Methods for Multimodal
  Representations in RL
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
P. Becker
Sebastian Mossburger
Fabian Otto
Gerhard Neumann
SSL
37
2
0
10 Feb 2023
World Models and Predictive Coding for Cognitive and Developmental
  Robotics: Frontiers and Challenges
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
T. Taniguchi
Shingo Murata
Masahiro Suzuki
D. Ognibene
Pablo Lanillos
...
L. Jamone
Tomoaki Nakamura
Alejandra Ciria
B. Lara
G. Pezzulo
37
52
0
14 Jan 2023
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector
  Insertion
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion
Ryogo Okumura
Nobuki Nishio
T. Taniguchi
22
8
0
10 Mar 2022
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday
  Household Tasks
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li
Fei Xia
Roberto Martín-Martín
Michael Lingelbach
S. Srivastava
...
Karen Liu
H. Gweon
Jiajun Wu
Li Fei-Fei
Silvio Savarese
LM&Ro
168
225
0
06 Aug 2021
1