Reinforcement learning AI to Hive

University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

Author: Rikard Blixt; Anders Ye; [2013]

Keywords: ;

Abstract: This report is about the game Hive, which is a very unique board game. Firstly we cover what Hive is, and then later details on our implementations of it, which issues we ran into during the implementation and how we solved those issues. Also we attempted to make an AI and by using reinforcement learning teaching it to become good at playing Hive. More precisely we used two AI that has no knowledge of Hive other than game rules. This however turned out to be impossible within reasonable timeframe, our estimations is that it would have to run on an upper-end home computer for at least 140 years to become decent at playing the game.

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