Using reinforcement learning to design an AI assistantfor a satisfying co-op experience
This addresses the problem of enhancing player satisfaction in gaming for users seeking co-op experiences, but it is incremental as it applies existing methods to a new context.
The researchers tackled the problem of creating a satisfying co-op experience in the single-player game Space Invaders by designing an AI assistant using reinforcement learning, and they validated that such an AI-driven player can achieve this goal.
In this project, we designed an intelligent assistant player for the single-player game Space Invaders with the aim to provide a satisfying co-op experience. The agent behaviour was designed using reinforcement learning techniques and evaluated based on several criteria. We validate the hypothesis that an AI-driven computer player can provide a satisfying co-op experience.