Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, and Magy Seif El-Nasr.Which Heroes to Pick Learning to Draft in MOBA Games with Neural Networks and Tree Search. Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, and Wei Yang.In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Developing a data-driven player ranking in soccer using predictive model weights. Joel Brooks, Matthew Kerr, and John Guttag.An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. Shaojie Bai, J Zico Kolter, and Vladlen Koltun.Spatio-temporal data mining: A survey of problems and methods. Gowtham Atluri, Anuj Karpatne, and Vipin Kumar.Furthermore, our work has been practically deployed in real MOBA games, and provided case studies reflecting its outstanding commercial value. Intensive experiments on a real-world data set demonstrate that our proposed method WT outperforms state-of-the-art algorithms. To optimize accurately, we adopt a multi-task learning method to design short-term and long-term goals, which are used to represent immediate state and make end-state prediction respectively. Moreover, we design a hierarchical attention mechanism to capture team-level strategies and facilitate the interpretability of the framework. A well-designed trajectory representation algorithm is applied to extracting individual’s Movement information. Specifically, offense and defense extractors are developed to extract the Confrontation of both sides. In this study, we design a unified framework, namely Winning Tracker (WT), for solving this problem. Existing research is difficult to solve this problem in a dynamic, comprehensive and systematic way. Among game analysis, real-time winning prediction is an important but challenging problem, which is mainly due to the complicated coupling of the overall Confrontation1, the excessive noise of the player’s Movement, and unclear optimization goals. With an increasing popularity, Multiplayer Online Battle Arena (MOBA) games where two opposing teams compete against each other, have played a major role in E-sports tournaments.
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