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Control Loop Patterns for AI-Enabled Systems: A Systematic Review
Affect-Aware Game Personalization with Reinforcement Learning: How to Improve Players' Engagement, Performance, and Emotions
Adaptive games are often evaluated through performance alone, even though gameplay experience also depends on players’ affective responses. We present an affect-aware game adaptation approach that combines a control loop architecture with tabular model-free reinforcement learning (MFRL) to adjust discrete game and user...