Maximization of the resource production in RTS games through stochastic search and planning

RTS games are an important field of research in Artificial Intelligence Planning. These games have many challenges for planning. RTS games are characterized by two important phases. The first one has to do with gathering resources and developing an army. In the second phase the resources produced are used in battles against enemies. Thus, the first phase is vital for success in the game and the power of the army developed directly reflects in the chances of victory. This work focuses on the choice of goals to be achieved during the game. To do this, we developed an approach for maximization of production resources based on stochastic search and planning. The results show the effectiveness of our approach in finding goals that increase the strength of the player army.