Using Reinforcement Learning in Chess Engines


Up until recently, the use of reinforcement learning (RL) in chess programming has been problematic and failed to yield the expected results. The breakthrough was finally achieved through Gerald’s Tesauros work on backgammon, which resulted in a program that could beat the world champion of backgammon in the majority of the matches they played. Our chess… (More)


3 Figures and Tables