IMITATION LEARNING IN GAMES: TEACHING AI BY MIMICKING EXPERT HUMAN PLAYERS

Abstract

AI transforms virtual gaming by creating more immersive and dynamic experiences through intelligent NPCs, personalized content, procedural generation, enhanced graphics, and adaptive storytelling. AI-driven advancements further amplify this impact, offering richer, more engaging virtual environments and fostering greater player engagement and retention. This paper explores the multifaceted role of AI in gaming, focusing on its capacity for personalization, intelligent non-player character (NPC) behaviour and improved game design. AI tailors gaming experiences to individual player preferences, dynamically adjusting difficulty levels and content recommendations. This paper concludes by emphasizing the transformative potential of AI in gaming, highlighting its role in shaping the future of user experience and engagement in the digital realm. In the field of artificial intelligence, teaching machines to learn and perform tasks has been a long-standing goal. One approach that has gained significant attention is imitation learning, a technique that enables machines to acquire skills by observing and mimicking human behaviour. This research explores the concept of imitation learning, its applications, and the challenges associated with this approach. We discuss the concept, applications, methodologies, and challenges of imitation learning in games and highlight its transformative potential for the future of digital entertainment.