Draft-Analysis of the Ancients: Predicting Draft Picks in DotA 2 Using Machine Learning

Cook, Michael (2016) Draft-Analysis of the Ancients: Predicting Draft Picks in DotA 2 Using Machine Learning. In: Experimental AI in Games 2016, San Francisco, CA, USA.

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Abstract / Summary

Analysing strategic decision-making in eSports is an increasingly important problem – for players, for teams, for commentators, for viewers and for broadcasters. Such analysis is extremely difficult, however, because of the comparatively small quantities of data, the ever-shifting state of competitive play, and the huge complexity of the
game. In this paper we describe a system for predicting drafting decisions in DOTA 2, and evaluate both how the system performs compared to human experts, as well as the new kinds of analysis made possible by automation.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Computer Science, Information & General Works
Depositing User:	Michael Cook
Date Deposited:	08 May 2017 10:44
Last Modified:	23 Nov 2023 13:39
URI:	https://falmouth-test.eprints-hosting.org/id/eprint/2399

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