Optimizing Deep Reinforcement Learning Models for Procedural Content Generation in Mobile Games #725499647861 (2025-02-07)

Optimizing Deep Reinforcement Learning Models for Procedural Content Generation in Mobile Games

Thanks to Harold Matthews for contributing the article "Optimizing Deep Reinforcement Learning Models for Procedural Content Generation in Mobile Games".

This study examines how engaging with mobile games affects attention span and cognitive control processes. It investigates both the potential benefits, such as improved focus, and the risks, such as attention deficits.This paper analyzes the development and diversification of mobile game genres over time, highlighting key trends and innovative game mechanics. It discusses how these changes reflect technological advancements and shifting player preferences.

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Player Governance in Blockchain-Based Mobile Games: A Game-Theoretic Analysis

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