Supplementary Proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2018), Moscow, Russia, July 5-7, 2018
We present an obstacle avoiding path planning method based on a Voronoi diagram adjusted with tactical component in a first-person shooter video game. We use a visibility measure to aggregate information on cover positions in offline and online game modes. In order to incorporate online learning based on frag map, we introduce a path finding algorithm minimizing the probability to walk along the path through dangerous zones, and on the contrary, choosing the best positions to shoot when observing a map level. Several implementations of collision free path finding are compared under efficiency, team goal achievements, and path length measures.