The Survey of Machine Learning Techniques in PUBG: Strategies for AI and Player\'s Gameplay

This research paper delves into the integration of machine learning (ML) techniques within PlayerUnknown's Battlegrounds (PUBG), focusing on strategies that enhance artificial intelligence (AI) performance and player interaction. By analyzing large-scale gameplay datasets, the study evaluates the effectiveness of generative AI frameworks and reinforcement learning algorithms. Key findings highlight improvements in AI adaptability, strategic decision-making, and player satisfaction. The research identifies gaps in real-time AI adaptability, trust-building in high-stakes environments, and fairness in gameplay, aiming to advance AI capabilities in multiplayer gaming scenarios.