Adaptive game mechanics: leveraging multi-armed bandits for dynamic difficulty adjustment

HIGHLIGHTS

  • What: To give a solid analysis of MAB, this study proposed a precisely balanced game engine to show whether different MAB algorithms are capable of DDA problems. The results of this study show the great potential of MAB algorithms in overcoming the limitations of traditional difficulty adjustment methods.
  • Who: Adaptive Game, Mechanics Leveraging and Tongle, Shen from the East China Normal University, Shanghai, China have published the article: Adaptive Game Mechanics: Leveraging Multi-Armed Bandits for Dynamic Difficulty Adjustment, in the Journal: (JOURNAL)
  • How: Showed that all MAB algorithms successfully identified the optimal . . .

     

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