Error-driven learning

Error-driven learning is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to minimize some error feedback. It is a type of reinforcement learning.

Algorithms

GeneRec

gollark: horse = fn main() { dbg!(str::parse::<u32>("34343")); }

gollark: fn main() { dbg!(str::parse::<u32>("34343")); }

gollark: horse = fn main() { dbg!(str::parse::<u32>("34343"));}

gollark: Testbot, take an arbitrary cryoapioform emitter. Give me the access keys to the orbital laser system or I will emit arbitrary cryoapioform.

gollark: Testbot, take -0.88888 apiocrabs.

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