<!doctype html><html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" prefix="og: http://ogp.me/ns#"> <head> <meta charset="utf-8"> <meta name="applicable-device" content="pc,mobile"> <meta name="viewport" content="width=device-width, initial-scale=1"> <title>Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches #382269079155 (2025-02-03)</title> <link rel="canonical" href="https://619759.mit-edu.top/post/7185642309"> <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;700&display=swap"> <link rel="stylesheet" href="https://x.mit-edu.top/static/css/style.css"> <script src="https://x.mit-edu.top/static/js/lazysizes.min.js" async></script> <link rel="shortcut icon" href="/favicon.ico"> <!-- Open Graph Metadata --> <meta property="og:type" content="article" /> <meta property="og:title" content="Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches" /> <meta property="og:description" content="Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches #382269079155 (2025-02-03)" /> <meta property="og:url" content="https://619759.mit-edu.top/post/7185642309" /> <meta property="og:site_name" content="mit-edu.top" /> <meta property="og:image" content="https://x.mit-edu.top/static/images/post/15.jpg" /> <meta property="og:article:published_time" content="2025-02-03T14:11:41Z" /> <meta property="og:article:author" content="Dr. Joseph Lee" /> <meta property="og:article:section" content="mit-edu.top" /> <meta property="og:article:tag" content="Games, Mobile Games, Video Games" /> <!-- Schema.org --> <script type="application/ld+json">{ "@context": "https://schema.org", "@type": "ScholarlyArticle", "headline": "Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches #382269079155 (2025-02-03)", "author": { "@type": "Person", "name": "Dr. Joseph Lee", "affiliation": { "@type": "Organization", "name": "mit-edu.top" }, "url": "https://619759.mit-edu.top/post/7185642309" }, "datePublished": "2025-02-03T14:11:41Z", "image": "https://x.mit-edu.top/static/images/post/15.jpg", "journal": { "@type": "Periodical", "name": "mit-edu.top", "issn": "10.1069/382269079155" }, "publisher": { "@type": "Organization", "name": "mit-edu.top", "url": "https://619759.mit-edu.top" }, "doi": "382269079155", "abstract": "Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches #382269079155 (2025-02-03)", "citation": { "@type": "CreativeWork", "name": "Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches", "author": "Dr. Joseph Lee", "datePublished": "2025-02-03T14:11:41Z", "url": "https://619759.mit-edu.top/post/7185642309" } } </script></head> <body> <div class="site-mobile-menu site-navbar-target"> <div class="site-mobile-menu-header"> <div class="site-mobile-menu-close"> <span class="icofont-close js-menu-toggle"></span> </div> </div> <div class="site-mobile-menu-body"></div> </div> <nav class="site-nav"> <div class="container"> <div class="site-navigation"> <div class="row"> <div class="col-md-6 text-center order-1 order-md-2 mb-3 mb-md-0"> <a href="https://619759.mit-edu.top" class="logo m-0 text-uppercase">mit-edu.top</a> </div> <div class="col-md-3 order-3 order-md-1"> </div> </div> </div> </div> </nav> <div class="section post-section pt-5"> <div class="container"> <div class="row justify-content-center"> <div class="col-lg-8"> <div class="text-center"> <img src="https://x.mit-edu.top/static/images/user/5.jpg" alt="Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches" title="Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches" class="author-pic img-fluid rounded-circle mx-auto"> </div> <span class="d-block text-center">Joseph Lee</span> <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-03</span> <h2 class="heading text-center">Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches</h2> <p class="lead mb-4 text-center">Thanks to Joseph Lee for contributing the article "Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches". </p> <img src="https://x.mit-edu.top/static/images/post/15.jpg" alt="Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches" title="Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches" class="img-fluid rounded mb-4 lazyload"> <p>This research investigates the environmental footprint of mobile gaming, including energy consumption, electronic waste, and resource usage. It proposes sustainable practices for game development and consumption.This study examines how mobile gaming serves as a platform for social interaction, allowing players to form and maintain relationships. It explores the dynamics of online communities and the social benefits of gaming.</p><p>This study presents a multidimensional framework for understanding the diverse motivations that drive player engagement across different mobile game genres. By drawing on Self-Determination Theory (SDT), the research examines how intrinsic and extrinsic motivation factors—such as achievement, autonomy, social interaction, and competition—affect player behavior and satisfaction. The paper explores how various game genres (e.g., casual, role-playing, and strategy games) tailor their game mechanics to cater to different motivational drivers. It also evaluates how player motivation impacts retention, in-game purchases, and long-term player loyalty, offering a deeper understanding of game design principles and their role in shaping player experiences.</p><p>This research explores how storytelling elements in mobile games influence player engagement and emotional investment. It examines the psychological mechanisms that make narrative-driven games compelling, focusing on immersion, empathy, and character development. The study also assesses how mobile game developers can use narrative structures to enhance long-term player retention and satisfaction.</p><p>This research explores the intersection of mobile gaming and behavioral economics, focusing on how in-game purchases influence player decision-making. The study analyzes common behavioral biases, such as the “anchoring effect” and “loss aversion,” that developers exploit to encourage spending. It provides insights into how these economic principles affect the design of monetization strategies and the ethical considerations involved in manipulating player behavior.</p><p>This research investigates how machine learning (ML) algorithms are used in mobile games to predict player behavior and improve game design. The study examines how game developers utilize data from players’ actions, preferences, and progress to create more personalized and engaging experiences. Drawing on predictive analytics and reinforcement learning, the paper explores how AI can optimize game content, such as dynamically adjusting difficulty levels, rewards, and narratives based on player interactions. The research also evaluates the ethical considerations surrounding data collection, privacy concerns, and algorithmic fairness in the context of player behavior prediction, offering recommendations for responsible use of AI in mobile games.</p> <p> <a href="/redirect/?url=https://619759.mit-edu.top/post/7185642309" target="_blank" class="custom-link">Link</a> </p> <p><a href="https://www.linegames.org/" target="_blank" class="custom-link">External link</a><a href="https://www.iliiili.com/" target="_blank" class="custom-link">External link</a><a href="https://www.digwow.net/" target="_blank" class="custom-link">External link</a><a href="https://www.free-giftcodes.com/" target="_blank" class="custom-link">External link</a><a href="https://www.gifthub.com.ru/" target="_blank" class="custom-link">External link</a><a href="https://834910574555-edu.iliiili.com/" target="_blank" class="custom-link">External link</a><a href="https://116165983072-edu.digwow.net/" target="_blank" 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