Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments
Deborah Sanchez 2025-02-03

Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments

Thanks to Deborah Sanchez for contributing the article "Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments".

Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments

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This research provides a critical analysis of gender representation in mobile games, focusing on the portrayal of gender stereotypes and the inclusivity of diverse gender identities in game design. The study investigates how mobile games depict male, female, and non-binary characters, examining the roles, traits, and agency afforded to these characters within game narratives and mechanics. Drawing on feminist theory and media studies, the paper critiques the reinforcement of traditional gender roles and the underrepresentation of marginalized genders in mobile games. The research also explores how game developers can promote inclusivity through diverse character designs, storylines, and gameplay mechanics, offering suggestions for more equitable and progressive representations in mobile gaming.

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