Dynamic Game Balancing in Mobile Games Using Reinforcement Learning #581781178591 (2025-02-08)

Dynamic Game Balancing in Mobile Games Using Reinforcement Learning

Thanks to Samuel Jenkins for contributing the article "Dynamic Game Balancing in Mobile Games Using Reinforcement Learning".

Indie game developers play a vital role in shaping the diverse landscape of gaming, bringing fresh perspectives, innovative gameplay mechanics, and compelling narratives to the forefront. Their creative freedom and entrepreneurial spirit fuel a culture of experimentation and discovery, driving the industry forward with bold ideas and unique gaming experiences that captivate players' imaginations.

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Optimizing Game Physics Simulations on Mobile Devices Through Hybrid Computing Architectures

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Games as Experimental Platforms for Studying Collective Intelligence

This research explores the evolution of game monetization models in mobile games, with a focus on player preferences and developer strategies over time. By examining historical data and trends from the mobile gaming industry, the study identifies key shifts in monetization practices, such as the transition from premium models to free-to-play with in-app purchases (IAP), subscription services, and ad-based monetization. The research also investigates how these shifts have impacted player behavior, including spending habits, game retention, and perceptions of value. Drawing on theories of consumer behavior, the paper discusses the relationship between monetization models and player satisfaction, providing insights into how developers can balance profitability with user experience while maintaining ethical standards.

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