Hierarchical Reinforcement Learning for Adaptive Agent Behavior in Game Environments #574891112213 (2025-02-07)

Hierarchical Reinforcement Learning for Adaptive Agent Behavior in Game Environments

Thanks to Alice Coleman for contributing the article "Hierarchical Reinforcement Learning for Adaptive Agent Behavior in Game Environments".

This study investigates the effectiveness of gamified fitness elements in mobile games as a means of promoting physical activity and improving health outcomes. The research analyzes how mobile games incorporate incentives such as rewards, progress tracking, and competition to motivate players to engage in regular physical exercise. Drawing on health psychology and behavior change theory, the paper examines the psychological and physiological effects of gamified fitness, exploring how it influences players' attitudes toward exercise, their long-term fitness habits, and overall health. The study also evaluates the limitations of gamified fitness interventions, particularly regarding their ability to maintain player motivation over time and address issues related to sedentary behavior.

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