论文标题
可解释的实时获胜预测国王荣誉，这是一种流行的移动MOBA电子竞技
Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport
论文作者
论文摘要
随着MOBA电子竞技（多人在线战场电子体育）的快速流行和爆炸性的发展，许多研究工作已致力于自动预测游戏结果（赢得预测）。尽管此任务在各种应用中具有巨大的潜力，例如电子竞技直播和游戏评论员AI系统，但以前的研究未能研究解释这些胜利预测的方法。为了减轻此问题，我们收集了一个大规模数据集，其中包含具有大众MOBA游戏荣誉Kings的丰富输入功能的实时游戏记录。对于可解释的预测，我们提出了一个两阶段的时空网络（TSSTN），该网络不仅可以提供准确的实时胜利预测，而且还可以将最终预测结果归因于不同特征对可解释性的贡献。实验结果和在现实世界中实时流媒体场景中的应用表明，所提出的TSSTN模型在预测准确性和可解释性方面都是有效的。
With the rapid prevalence and explosive development of MOBA esports (Multiplayer Online Battle Arena electronic sports), much research effort has been devoted to automatically predicting game results (win predictions). While this task has great potential in various applications, such as esports live streaming and game commentator AI systems, previous studies fail to investigate the methods to interpret these win predictions. To mitigate this issue, we collected a large-scale dataset that contains real-time game records with rich input features of the popular MOBA game Honor of Kings. For interpretable predictions, we proposed a Two-Stage Spatial-Temporal Network (TSSTN) that can not only provide accurate real-time win predictions but also attribute the ultimate prediction results to the contributions of different features for interpretability. Experiment results and applications in real-world live streaming scenarios showed that the proposed TSSTN model is effective both in prediction accuracy and interpretability.
