A Spatial Analysis of Multiplayer Online Battle Arena Mobility Traces

Carlini, Emanuele; Lulli, Alessandro

doi:10.1007/978-3-319-75178-8_40

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…The variety of architectures in this group is remarkable. There could be found simple artificial neural networks [7] [27] [28] [19] [29], or more complex architectures: recurrent neural networks [30] [31] [32], convolutional neural networks [23], deep neural networks [33] [34] [35], fully-connected neural networks [26] [35], discriminative neural networks [36] and transformers [37].…”

Section: Neural Networkmentioning

confidence: 99%

Relevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithms

López-Guzmán¹,

Bustacara-Medina²

2021

CSRN

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Popularity of Multiplayer Online Battle Arena (MOBA) video games has grown considerably, its popularity as well as the complexity of their playability, have attracted the attention in recent years of researchers from various areas of knowledge and in particular how they have resorted to different machine learning techniques. The papers reviewed mainly look for patterns in multidimensional data sets. Furthermore, these previous researches do not present a way to select the independent variables (predictors) to train the models. For this reason, this paper proposes a list of variables based on the techniques used and the objectives of the research. It allows to provide a set of variables to find patterns applied in MOBA videogames. In order to get the mentioned list, the consulted works were grouped by the used machine learning techniques, ranging from rule-based systems to complex neural network architectures. Also, a grouping technique is applied based on the objective of each research proposed.

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Section: Neural Networkmentioning

confidence: 99%

Relevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithms

López-Guzmán¹,

Bustacara-Medina²

2021

CSRN

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“…This algorithm does not take a maximal error as parameter, but a fixed wait time w between message exchange of any pair of players. The traces provided in [8] contain time-stamped information on 98 games of Heroes of Newerth [1] and were used in [9] with the purpose of building mobility models. They contain the evolution of positions of 10 players in each trace.…”

Section: Actual Tracesmentioning

confidence: 99%

Approximation Algorithm for Estimating Distances in Distributed Virtual Environments

Beaumont

Castanet

Hanusse

et al. 2020

Lecture Notes in Computer Science

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This article deals with the issue of guaranteeing properties in Distributed Virtual Environments (DVEs) without a server. This issue is particularly relevant in the case of online games, that operate in a fully distributed framework and for which network resources such as bandwidth are the critical resources. Players typically need to know the distance between their character and other characters, at least approximately. They all share the same position estimation algorithm but, in general, do not know the current positions of others. We provide a synchronized distributed algorithm A lc to guarantee, at any time, that the estimated distance d est between any pair of characters A and B is always a 1 + ε approximation of the current distance d act , regardless of movement pattern, and then prove that if characters move randomly on a n-dimensional grid, or follow a random continuous movement on up to three dimensions, the number of messages of A lc is optimal up to a constant factor. In a more practical setting, we also show that the number of messages of A lc for actual game traces is much less than the standard algorithm sending actual positions at a given frequency.

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Analysis of Movement Features in Multiplayer Online Battle Arenas

Carlini

Lulli

2018

J Grid Computing

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A Spatial Analysis of Multiplayer Online Battle Arena Mobility Traces

Cited by 3 publications

References 16 publications

Relevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithms

Relevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithms

Approximation Algorithm for Estimating Distances in Distributed Virtual Environments

Analysis of Movement Features in Multiplayer Online Battle Arenas

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