The Role of Explainability in Reinforcement Learning Models for Game AI
Kathy Peterson 2025-01-31

The Role of Explainability in Reinforcement Learning Models for Game AI

Thanks to Kathy Peterson for contributing the article "The Role of Explainability in Reinforcement Learning Models for Game AI".

The Role of Explainability in Reinforcement Learning Models for Game AI

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This paper explores the integration of artificial intelligence (AI) in mobile game design to enhance player experience through adaptive gameplay systems. The study focuses on how AI-driven algorithms adjust game difficulty, narrative progression, and player interaction based on individual player behavior, preferences, and skill levels. Drawing on theories of personalized learning, machine learning, and human-computer interaction, the research investigates the potential for AI to create more immersive and personalized gaming experiences. The paper also examines the ethical considerations of AI in games, particularly concerning data privacy, algorithmic bias, and the manipulation of player behavior.

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