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<span class="d-block text-center">Dorothy King</span>
<span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-06</span>
<h2 class="heading text-center">Player-Centric Game Balancing Through Reinforcement Learning and Multi-Agent Systems</h2>
<p class="lead mb-4 text-center">Thanks to Dorothy King for contributing the article "Player-Centric Game Balancing Through Reinforcement Learning and Multi-Agent Systems".
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<p>This research explores the use of adaptive learning algorithms and machine learning techniques in mobile games to personalize player experiences. The study examines how machine learning models can analyze player behavior and dynamically adjust game content, difficulty levels, and in-game rewards to optimize player engagement. By integrating concepts from reinforcement learning and predictive modeling, the paper investigates the potential of personalized game experiences in increasing player retention and satisfaction. The research also considers the ethical implications of data collection and algorithmic bias, emphasizing the importance of transparent data practices and fair personalization mechanisms in ensuring a positive player experience.</p>
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