  As the complexity and scope of games increase, game testing, also called
playtesting, becomes an essential activity to ensure the quality of video
games. Yet, the manual, ad-hoc nature of game testing leaves space for
automation. In this paper, we research, design, and implement an approach to
supplement game testing to balance video games with autonomous agents. We
evaluate our approach with two platform games. We bring a systematic way to
assess if a game is balanced by (1) comparing the difficulty levels between
game versions and issues with the game design, and (2) the game demands for
skill or luck.
