EPISODE · Jun 3, 2018 · 8 MIN
World Models Explained
from Siraj Raval
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_models Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://worldmodels.github.io/ https://arxiv.org/abs/1803.10122 https://www.reddit.com/r/MachineLearning/comments/87nqbz/r_world_models/ https://medium.com/applied-data-science/how-to-build-your-own-world-model-using-python-and-keras-64fb388ba459 https://news.ycombinator.com/item?id=16860247 https://towardsdatascience.com/world-models-in-tensorflow-episode-1-2b3c217ebc8f Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693
What this episode covers
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_models Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://worldmodels.github.io/ https://arxiv.org/abs/1803.10122 https://www.reddit.com/r/MachineLearning/comments/87nqbz/r_world_models/ https://medium.com/applied-data-science/how-to-build-your-own-world-model-using-python-and-keras-64fb388ba459 https://news.ycombinator.com/item?id=16860247 https://towardsdatascience.com/world-models-in-tensorflow-episode-1-2b3c217ebc8f Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693
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World Models Explained
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