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Rogue-Like Games as a Playground for Artificial Intelligence – Evolutionary Approach

Abstract : Rogue-likes are difficult computer RPG games set in a procedurally generated environment. Attempts have been made at playing these algorithmically, but few of them succeeded. In this paper, we present a platform for developing artificial intelligence (AI) and creating procedural content generators (PCGs) for a rogue-like game Desktop Dungeons. As an example, we employ evolutionary algorithms to recombine greedy strategies for the game. The resulting AI plays the game better than a hand-designed greedy strategy and similarly well to a mediocre player – winning the game 72% of the time. The platform may be used for additional research leading to improving rogue-like games and general PCGs.
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Vojtech Cerny, Filip Dechterenko. Rogue-Like Games as a Playground for Artificial Intelligence – Evolutionary Approach. 14th International Conference on Entertainment Computing (ICEC), Sep 2015, Trondheim, Norway. pp.261-271, ⟨10.1007/978-3-319-24589-8_20⟩. ⟨hal-01758437⟩



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