Chapter 9. Learning by practice: reinforcement learning
This chapter covers
- Defining a task for reinforcement learning
- Building a learning agent for games
- Collecting self-play experiences for training
I’ve probably read a dozen books on Go, all written by strong pros from China, Korea, and Japan. And yet I’m just an intermediate amateur player. Why haven’t I reached the level of these legendary players? Have I forgotten their lessons? I don’t think that’s it; I can practically recite Toshiro Kageyama’s Lessons in the Fundamentals of Go (Ishi Press, 1978) by heart. Maybe I just need to read more books....
I don’t know the full recipe for becoming a top Go star, but I know at least one difference between me and Go professionals: practice. ...
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