New research reveals optimal strategies in semi-Markov games with incomplete information.
The article discusses a type of game where one player has incomplete information about the game type chosen at the start. Both players can see each other's actions after each stage. The researchers proved that there is a best strategy for Player 1 and Player 2 in this game. They also found a way to calculate these optimal strategies through a special type of game called dual games. This research shows that optimal strategies can be determined in games with incomplete information.