Unveling Chess Algorithms Using Reinforcement Learning and Traditional Chess Approaches in AI
Ishika Khokhani, Juhi Nathani, Prem Dhawane, Smit Madhani, Kumkum Saxena · 2023
In the history of Artificial Intelligence, chess has been the subject of the many researches. Chess bots are now capable of beating grandmasters using reinforcement learning which is a branch of Artificial Intelligence that focuses on developing intelligent systems capable of making optimal decisions through engagement with the environment via trial-and-error. Alpha Zero, Stockfish 8, and Q-learning are the three prominent methods used in chess bots. These methods have revolutionized the field of artificial intelligence in chess, showcasing remarkable capabilities and advancements. This paper provides a comparative study of these approaches by examining the contrast in their underlying approaches, performance, training methodologies, and limitations.