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- 1 commit
- 1 file changed
- 1 contributor
Commits on Aug 9, 2020
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Adds some extra notes on RL training
I've recently been trying to take on RL again (bit of redemption after my glaring defeat to box2d car racing 2 years ago!). In this pursuit I came across some new analogies that were extremely useful to me in creating a mental model for how some of these techniques work. Thought they may be useful to some of your students. This commit - adds an analogy for the purpose of the target network - emphasizes the _reason_ experience replay works - adds a section on advanced RL techniques used to overcome sparse reward functions
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