Ryota Ishii

Monte-Carlo Tree Search for Implementation of Dynamic Difficulty Adjustment Fighting Game AIs Having Believable Behaviors

2018

In this paper, we propose a Monte-Carlo Tree Search (MCTS) fighting game AI capable of dynamic difficulty adjustment while maintaining believable behaviors. This work targets beginner-level and intermediate-level players. In order to improve players' skill …