Deep reinforcement learning at Riot Games

From Atari to Go to DotA 2, impressive strides have been made in deep reinforcement learning for complex games. In this talk, we describe Riot Games’ initial foray into using this technology, culminating in a tool enabling game designers on Legends of Runeterra to analyze and iterate on game balance prior to the release of content. We also discuss our subsequent expansion of this effort into additional games and recent updates we made to our tech stack to help equip us to meet both current and future challenges.