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Deep Learning and the Game of Go
book

Deep Learning and the Game of Go

by Kevin Ferguson, Max Pumperla
January 2019
Intermediate to advanced content levelIntermediate to advanced
384 pages
13h 27m
English
Manning Publications
Content preview from Deep Learning and the Game of Go

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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