learning to play the game of chess

Throughout the last decades, the game of chess has been a major testbed for research on
artificial intelligence and computer science. Most oftoday's chess programs rely on intensive
search to generate moves. To evaluate boards, fast evaluation functions are employed which
are usually carefully designed by hand, sometimes augmented by automatic parameter tuning
methods [1]. Building a chess machine that learns to play solely from the final outcome of
games (win/loss/draw) is a challenging open problem in AI.


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