Hierarchical Reinforcement Learning for Complex Task Decomposition in Mobile Games #903733066579 (2025-02-04)

Hierarchical Reinforcement Learning for Complex Task Decomposition in Mobile Games

Thanks to Anna Ross for contributing the article "Hierarchical Reinforcement Learning for Complex Task Decomposition in Mobile Games".

This study examines the growing trend of fitness-related mobile games, which use game mechanics to motivate players to engage in physical activities. It evaluates the effectiveness of these games in promoting healthier behaviors and increasing physical activity levels. The paper also investigates the psychological factors behind players’ motivation to exercise through games and explores the future potential of fitness gamification in public health campaigns.

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The Role of Mobile Games in Promoting Physical Activity through Gamified Health Apps

Virtual avatars, meticulously crafted extensions of the self, embody players' dreams, fears, and aspirations, allowing for a profound level of self-expression and identity exploration within the vast digital landscapes. Whether customizing the appearance, abilities, or personality traits of their avatars, gamers imbue these virtual representations with elements of their own identity, creating a sense of connection and ownership. The ability to inhabit alternate personas, explore diverse roles, and interact with virtual worlds empowers players to express themselves in ways that transcend the limitations of the physical realm, fostering creativity and empathy in the gaming community.

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Energy-Aware Game Engine Optimization for Mobile Platforms

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Real-Time Measurement of Player Frustration in Mobile Games Using Physiological Sensors

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Gloria Bryant 2025-02-04 published post