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?