A framework of Dynamic Difficulty Adjustment in competitive multiplayer video games

Author:

Baldwin Alexander,Johnson Daniel,Wyeth Peta,Sweetser Penny

Publisher

IEEE

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Difficulty Balance in Two-Player Games with Deep Reinforcement Learning;2023 IEEE Conference on Games (CoG);2023-08-21

2. Linking Mental Health and Gaming Using C-Support Vectors and Multilayer Perceptrons;2022 4th International Conference on Circuits, Control, Communication and Computing (I4C);2022-12-21

3. Dynamic Difficulty Adjustment in a Multiplayer Minecraft Server;Proceedings of the 34th Australian Conference on Human-Computer Interaction;2022-11-29

4. Balancing the Performance of a FightingICE Agent using Reinforcement Learning and Skilled Experience Catalogue;2022 IEEE Games, Entertainment, Media Conference (GEM);2022-11-27

5. Adaptive rubber-banding system of dynamic difficulty adjustment in racing games;ICGA Journal;2022-07-05

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