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Source: https://blog-637819077568.mit-edu.top/post/1587340269

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  52.            "abstract": "Adaptive Imitation Learning for NPC Behavior Modeling in Dynamic Game Environments #689489740506 (2025-01-31)",
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  93.                    <span class="d-block text-center">Thomas Clark</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-01-31</span>
  95.                    <h2 class="heading text-center">Adaptive Imitation Learning for NPC Behavior Modeling in Dynamic Game Environments</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Thomas Clark for contributing the article "Adaptive Imitation Learning for NPC Behavior Modeling in Dynamic Game Environments".
  97.                    </p>
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  215.                            <div class="post-meta mb-3">
  216.                                <a href="https://blog-6789254013.mit-edu.top/post/6789254013/" target="_blank">
  217.                                <span class="date">2025-01-31</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-637819077568.mit-edu.top/post/6789254013">Data-Driven Insights into Player Churn in Freemium Game Models</a></h2>
  221.                            <p class="info">This paper examines the integration of artificial intelligence (AI) in the design of mobile games, focusing on how AI enables adaptive game mechanics that adjust to a player’s behavior. The research explores how machine learning algorithms personalize game difficulty, enhance NPC interactions, and create procedurally generated content. It also addresses challenges in ensuring that AI-driven systems maintain fairness and avoid reinforcing harmful stereotypes.</p>
  222.                            <a href="https://blog-637819077568.mit-edu.top/post/6789254013" class="post-author d-flex align-items-center">
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  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>David Hernandez</strong>
  228.                                    <span>2025-01-31 published post</span>
  229.                                </div>
  230.                            </a>
  231.                        </div>
  232.                    </div>
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  237.                            <a href="https://blog-637819077568.mit-edu.top/post/8196075234">
  238.                            <img src="https://x.mit-edu.top/static/images/post/2.jpg" alt="Federated Learning Models for Collaborative AI Training in Multiplayer Games" title="Federated Learning Models for Collaborative AI Training in Multiplayer Games" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
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  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-8196075234.mit-edu.top/post/8196075234/" target="_blank">
  244.                                <span class="date">2025-01-31</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-637819077568.mit-edu.top/post/8196075234">Federated Learning Models for Collaborative AI Training in Multiplayer Games</a></h2>
  248.                            <p class="info">This research investigates the potential of mobile games as tools for political engagement and civic education, focusing on how game mechanics can be used to teach democratic values, political participation, and social activism. The study compares gamified civic education games across different cultures and political systems, analyzing their effectiveness in fostering political literacy, voter participation, and civic responsibility. By applying frameworks from political science and education theory, the paper assesses the impact of mobile games on shaping young people's political beliefs and behaviors, while also examining the ethical implications of using games for political socialization.</p>
  249.                            <a href="https://blog-637819077568.mit-edu.top/post/8196075234" class="post-author d-flex align-items-center">
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  251.                                    <img src="https://x.mit-edu.top/static/images/user/16.jpg" alt="Federated Learning Models for Collaborative AI Training in Multiplayer Games" title="Federated Learning Models for Collaborative AI Training in Multiplayer Games" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Raymond Henderson</strong>
  255.                                    <span>2025-01-31 published post</span>
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