AI techniques in board game: A survey

Abstract

This paper delves into the realm of Artificial Intelligence (AI) and its transformative impact on board games, with a particular focus on chess and Go. In the domain of Go, it traces the evolution from AlphaGos historic victory over Lee Sedol to the groundbreaking AlphaGo Zero and Alpha Zero models. This survey explores the fundamental neural network architectures and reinforcement learning techniques employed in board games, ushering AI to new heights in mastering these intricate games. Furthermore, it introduces the chess AI developed by DeepMind, shedding light on the cutting-edge advancements in AI-driven board game strategies. This comprehensive examination highlights the profound influence of AI in reshaping the landscape of board games and sets the stage for further research and innovation in this exciting field.