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Efficient World Models with Context-Aware Tokenization

Efficient World Models with Context-Aware Tokenization

27 June 2024
Vincent Micheli
Eloi Alonso
François Fleuret
    OffRLVLM
ArXiv (abs)PDFHTMLHuggingFace (8 upvotes)Github (100★)

Papers citing "Efficient World Models with Context-Aware Tokenization"

8 / 8 papers shown
Title
A Comprehensive Survey on World Models for Embodied AI
A Comprehensive Survey on World Models for Embodied AI
Xinqing Li
Xin He
Le Zhang
Yun-Hai Liu
Xiaoli Li
Yun Liu
VGenLM&RoSyDa
168
2
0
19 Oct 2025
CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter
CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter
Junyeong Park
Hyeonseo Cho
Sungjin Ahn
VGen
76
0
0
19 Aug 2025
Curious Causality-Seeking Agents Learn Meta Causal World
Curious Causality-Seeking Agents Learn Meta Causal World
Zhiyu Zhao
Xue Yang
Haifeng Zhang
Jun Wang
Francesco Faccio
Jürgen Schmidhuber
Mengyue Yang
CMLLRM
218
1
0
29 Jun 2025
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation
Jun Guo
Xiaojian Ma
Yikai Wang
Min Yang
Huaping Liu
Qing Li
VGen
236
5
0
15 May 2025
Thinking agents for zero-shot generalization to qualitatively novel tasks
Thinking agents for zero-shot generalization to qualitatively novel tasks
Thomas Miconi
Kevin L McKee
Yicong Zheng
Jed McCaleb
LRMAI4CE
179
0
0
25 Mar 2025
Learning Transformer-based World Models with Contrastive Predictive Coding
Learning Transformer-based World Models with Contrastive Predictive CodingInternational Conference on Learning Representations (ICLR), 2025
Maxime Burchi
Radu Timofte
254
10
0
06 Mar 2025
DMWM: Dual-Mind World Model with Long-Term Imagination
DMWM: Dual-Mind World Model with Long-Term Imagination
Lingyi Wang
Rashed Shelim
Walid Saad
Naren Ramakrishnan
LRM
911
3
0
11 Feb 2025
Objects matter: object-centric world models improve reinforcement learning in visually complex environments
Objects matter: object-centric world models improve reinforcement learning in visually complex environments
Weipu Zhang
Adam Jelley
Trevor A. McInroe
Amos Storkey
OCLOffRL
100
2
0
27 Jan 2025
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