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Artificial intelligence for the game Desktop dungeons
 Černý, Vojtěch ; Děchtěrenko, Filip (advisor) ; Pilát, Martin (referee)
Rogue-like games are a subgenre of computer RPG games, featuring procedurally generated environment and permanent death. Winning them is a challenge for a human player, and more so for artificial intelligence (AI). In this work, we present a framework for implementing artificial players for a rogue-like game Desktop Dungeons. We then investigate options of suitable AI creation, and settle for using a genetic algorithm to fine-tune a greedy strategy. The resulting AI was as succesful as a mediocre human player, winning the game 72% of the time. This framework and results may be used to improve the quality of rogue-like games, procedural content generators, and artificial intelligence in similiar environments. Powered by TCPDF (www.tcpdf.org)
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