Teaching a robot how to walk with Q-Learning 

Today, we’re gonna learn how to create a virtual agent that discovers how to interact with the world. The technique we’re going to use is called Q-Learning, and it’s super cool.


Autoencoders (AE) are a family of neural networks for which the input is the same as the output*. They work by compressing the input into a latent-spacerepresentation, and then reconstructing the output from this representation.

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