Episode 43: Deep Reinforcement Learning

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Recorded18 Apr 2022

Publisheranchor.fm ↗

Handlerec:11312490

Show notes

In this video upload available on Spotify (we'll try this once and see how it's received), we revisit Reinforcement Learning (from way back in episode 28) and this time discuss how to turn it into Deep Reinforcement Learning by swapping out the Q-Table and putting a neural network in its place. The end result is a sort of 'bootstrapping intelligence' where you let the neural net train itself. We also discuss: How this, if at all, relates to animal intelligence. Is RL a general purposes learner? Is it a path to AGI? Links: Github Code Base Presentation Slide Pack Youtube version

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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