By repeatedly playing the game, they learn its rules as well as possible winning strategies. In typical use-cases of Self-Play, two AI agents play against each other in a particular game, e.g., chess or Go. The central research question to answer in this study is whether the AI methodology of Self-Play can be applied to financial markets.
