Globally Optimized Matchmaking in Online Games
Published in Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD`2021), 2021
Recommended citation: Deng, Qilin, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu*, Linxia Gong, Jianrong Tao, Changjie Fan, and Peng Cui. "Globally Optimized Matchmaking in Online Games." In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 2753-2763. 2021. https://dl.acm.org/doi/abs/10.1145/3447548.3467074
This paper is about proposing a novel reinforcement learning approach for globally optimizing matchmaking in online games.
Recommended citation:Deng, Qilin, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu*, Linxia Gong, Jianrong Tao, Changjie Fan, and Peng Cui. (2021) “Globally Optimized Matchmaking in Online Games.” In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.