World Models Explained

A recent paper called 'world models' has gotten really popular in the machine learning community. They trained an AI to play a racing game by having it learn inside of its own simulated dream environment. Meaning, the AI learned a model of what the game world was like, then was able to generate a game world that was roughly similar to what it learned and train inside of that. A simulation inside of a simulation. I'll explain how their model was structured both theoretically and programmatically in this video.

Code for this video:
https://github.com/llSourcell/world_m...

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More learning resources:
https://worldmodels.github.io/
https://arxiv.org/abs/1803.10122
  / r_world_models  
  / how-to-build-your-own-world-model-using-py...  
https://news.ycombinator.com/item?id=...
https://towardsdatascience.com/world-...

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