Dynamic Difficulty Adjustment via Fast User Adaptation-Reference-Cited by-同舟云学术

Dynamic Difficulty Adjustment via Fast User Adaptation

Published:2020-10-20 Issue: Volume: Page:
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Container-title:Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology
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Author:

Moon Hee-Seung¹,Seo Jiwon¹

Affiliation:

1. Yonsei University, Incheon, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3379350.3418578

Reference15 articles.

1. The effect of multiplayer dynamic difficulty adjustment on the player experience of video games

2. Dynamic Difficulty Adjustment Impact on Players' Confidence

3. Adaptation in Digital Games

4. Player experience and deceptive expectations of difficulty adaptation in digital games

5. Chelsea Finn , Pieter Abbeel , and Sergey Levine . 2017 . Model-agnostic meta-learning for fast adaptation of deep networks . In Proceedings of the 34th International Conference on Machine Learning (ICML). 1126--1135 . Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In Proceedings of the 34th International Conference on Machine Learning (ICML). 1126--1135.

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