Ashley Adams
2025-02-01
Hierarchical Reinforcement Learning for Multi-Agent Collaboration in Complex Mobile Game Environments
Thanks to Ashley Adams for contributing the article "Hierarchical Reinforcement Learning for Multi-Agent Collaboration in Complex Mobile Game Environments".
This research explores the role of reward systems and progression mechanics in mobile games and their impact on long-term player retention. The study examines how rewards such as achievements, virtual goods, and experience points are designed to keep players engaged over extended periods, addressing the challenges of player churn. Drawing on theories of motivation, reinforcement schedules, and behavioral conditioning, the paper investigates how different reward structures, such as intermittent reinforcement and variable rewards, influence player behavior and retention rates. The research also considers how developers can balance reward-driven engagement with the need for game content variety and novelty to sustain player interest.
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