Regularized policy gradient with learned mixtures of Gaussians for games with continuous actions

Ondřej Kubíček, Viliam Lisý, Tuomas Sandholm

Most successes of superhuman game-playing algorithms are in games with discrete actions, yet in auctions, robotics, sports, or trading, actions are nearly continuous. Prior techniq…