Season 1 · Episode 43
Episode 43: Deep Reinforcement Learning
The Theory of Anything · Bruce Nielson and Peter Johansen
April 18, 20221h 21m
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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?
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