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<span class="d-block text-center">Ronald Parker</span>
<span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-04</span>
<h2 class="heading text-center">The Role of Explainability in Reinforcement Learning Models for Game AI</h2>
<p class="lead mb-4 text-center">Thanks to Ronald Parker for contributing the article "The Role of Explainability in Reinforcement Learning Models for Game AI".
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<p>This research explores the relationship between mobile gaming habits and academic performance among students. It examines both positive aspects, such as improved cognitive skills, and negative aspects, such as decreased study time and attention.</p>
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<p>This paper investigates the use of artificial intelligence (AI) for dynamic content generation in mobile games, focusing on how procedural content creation (PCC) techniques enable developers to create expansive, personalized game worlds that evolve based on player actions. The study explores the algorithms and methodologies used in PCC, such as procedural terrain generation, dynamic narrative structures, and adaptive enemy behavior, and how they enhance player experience by providing infinite variability. Drawing on computer science, game design, and machine learning, the paper examines the potential of AI-driven content generation to create more engaging and replayable mobile games, while considering the challenges of maintaining balance, coherence, and quality in procedurally generated content.</p>
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