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Learning to play the chess variant Crazyhouse with deep learning and domain knowledge
Anei Makovec, Matej Guid, Johanna Pirker
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Oznake: chess version Crazyhouse;chess versions;chess;learning to play;domain knowledge;best-change rates;Monte Carlo tree search;computer science;master's thesis;
In the evolving landscape of game-playing algorithms, Crazyhouse's reintroduction of captured pieces presents a unique challenge that distinguishes it from traditional chess. In this thesis, we explore a hybrid approach that combines domain knowledge with neural network-based evaluations, aiming for ...
Leto: 2023 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
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