Recent content by corner_max

A practical understanding of Reinforcement Learning starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is automation. Define what a good result looks like before changing tools or settings, then test one variable at a time...

A practical understanding of Introductions starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is quality versus speed. Define what a good result looks like before changing tools or settings, then test one variable at a time...