Unverified50% confidenceFactExact time
David Ha and Jürgen Schmidhuber proposed the 'World Models' framework in 2018, using a variational autoencoder (VAE) and a recurrent neural network (RNN) to build an internal representation of the environment.
1
Sources
50%
Confidence
Long-term
Relevance
9/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe world model concept was systematically proposed by Ha and Schmidhuber in their 2018 paper "World Models".79% similarUnverifiedThe JEPA framework proposed by Yann LeCun centers on predictive perception and attempts to replace the traditional generative or discriminative paradigm.63% similarUnverifiedThe world model of Ha and Schmidhuber employs a three-module architecture: a visual encoder V responsible for perceptual compression, a recurrent neural network M responsible for temporal memory, and a controller C responsible for decision-making.63% similarUnverifiedAt WAIC, the Pangu team from Zhongke Wenge released SE-Omni, described as the world's first multimodal unified reasoning model for scientific understanding, prediction, and generation.62% similarUnverifiedDreamer系列（Hafner等人，2019-2023）核心是循环状态空间模型（RSSM），通过重构观测学习表征，属于生成式方法62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/859028API
curl https://kongchang.com/api/v1/knowledge/claims/859028MCP
get_claim(id=859028)