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Source: https://blog-909313518142.mit-edu.top/post/7203948165

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  52.            "abstract": "Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches #476679063313 (2025-02-05)",
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  93.                    <span class="d-block text-center">Anna Ross</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-05</span>
  95.                    <h2 class="heading text-center">Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Anna Ross for contributing the article "Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches".
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  216.                                <a href="https://blog-4026783519.mit-edu.top/post/4026783519/" target="_blank">
  217.                                <span class="date">2025-02-05</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-909313518142.mit-edu.top/post/4026783519">Simulating Realistic Physics in Low-Powered Mobile Devices</a></h2>
  221.                            <p class="info">This research critically examines the ethical considerations of marketing practices in the mobile game industry, focusing on how developers target players through personalized ads, in-app purchases, and player data analysis. The study investigates the ethical implications of targeting vulnerable populations, such as minors, by using persuasive techniques like loot boxes, microtransactions, and time-limited offers. Drawing on ethical frameworks in marketing and consumer protection law, the paper explores the balance between business interests and player welfare, emphasizing the importance of transparency, consent, and social responsibility in game marketing. The research also offers recommendations for ethical advertising practices that avoid manipulation and promote fair treatment of players.</p>
  222.                            <a href="https://blog-909313518142.mit-edu.top/post/4026783519" class="post-author d-flex align-items-center">
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  224.                                    <img src="https://x.mit-edu.top/static/images/user/7.jpg" alt="Simulating Realistic Physics in Low-Powered Mobile Devices" title="Simulating Realistic Physics in Low-Powered Mobile Devices" class="lazyload">
  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>Michelle Turner</strong>
  228.                                    <span>2025-02-05 published post</span>
  229.                                </div>
  230.                            </a>
  231.                        </div>
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  237.                            <a href="https://blog-909313518142.mit-edu.top/post/0257183649">
  238.                            <img src="https://x.mit-edu.top/static/images/post/19.jpg" alt="Federated Learning for Cross-Platform Mobile Game Analytics and Personalization" title="Federated Learning for Cross-Platform Mobile Game Analytics and Personalization" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
  241.                        <div class="content">
  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-0257183649.mit-edu.top/post/0257183649/" target="_blank">
  244.                                <span class="date">2025-02-05</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-909313518142.mit-edu.top/post/0257183649">Federated Learning for Cross-Platform Mobile Game Analytics and Personalization</a></h2>
  248.                            <p class="info">This study applies social network analysis (SNA) to investigate the role of social influence and network dynamics in mobile gaming communities. It examines how social relationships, information flow, and peer-to-peer interactions within these communities shape player behavior, preferences, and engagement patterns. The research builds upon social learning theory and network theory to model the spread of gaming behaviors, including game adoption, in-game purchases, and the sharing of strategies and achievements. The study also explores how mobile games leverage social influence mechanisms, such as multiplayer collaboration and social rewards, to enhance player retention and lifetime value.</p>
  249.                            <a href="https://blog-909313518142.mit-edu.top/post/0257183649" class="post-author d-flex align-items-center">
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  251.                                    <img src="https://x.mit-edu.top/static/images/user/5.jpg" alt="Federated Learning for Cross-Platform Mobile Game Analytics and Personalization" title="Federated Learning for Cross-Platform Mobile Game Analytics and Personalization" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Victoria Simmons</strong>
  255.                                    <span>2025-02-05 published post</span>
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