January 2019
Intermediate to advanced
384 pages
13h 27m
English
This chapter covers
After DeepMind revealed the second edition of AlphaGo, code-named Master, Go fans all over the world scrutinized its shocking style of play. Master’s games were full of surprising new moves. Although Master was bootstrapped from human games, it was continuously enhanced with reinforcement learning, and that enabled it to discover new moves that humans didn’t play.
This led to an obvious question: what if AlphaGo didn’t rely on human games at all, but instead learned ...