I grew up playing Stratigo (badly) so this paper was interesting from the beginning. Basically, Stratigo is too complicated of a game to have a model for, so they introduced a new model free method using Regularized Nash Dynamics to find the solution to the game.

Link to the paper: Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning