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Addressing the Complexity of MOBA Games through Simple Geometric Clues

Alexis Mortelier 1 François Rioult 1 
1 Equipe CODAG - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen
Abstract : Recently, the analysis of e-sport data has particularly attracted the attention of machine learning researchers. We contribute here by proposing, on the MOBA (Multiplayer Online Battle Arena) game DotA2 (Defense of the Ancients 2), an analysis of the relevance of geometric clues relating to the behavior of the players. The geometric clues we have chosen concern the trajectories of the players and the characteristics of the polygon described by the players of a team. More precisely, for the polygon clues, we computed, for each second of the game: the convex area, the diameter, the grouping capacity (average of the distances to the barycenter), the inertia (second order moment of the distances to the barycenter) and finally the distance to the opponent's fortress. During a regression on the number of alive heroes, the learning performance of an RNN (precisely a LSTM) fed by our simple clues allowed us to evaluate their relevance in describing this complex game.
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Submitted on : Monday, June 20, 2022 - 10:03:21 AM
Last modification on : Thursday, June 23, 2022 - 3:30:31 AM
Long-term archiving on: : Thursday, September 22, 2022 - 11:15:34 AM


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  • HAL Id : hal-03699200, version 1


Alexis Mortelier, François Rioult. Addressing the Complexity of MOBA Games through Simple Geometric Clues. 2022. ⟨hal-03699200⟩



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