Open Access
Issue
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
Article Number 01023
Number of page(s) 7
Section Reinforcement Learning and Optimization Techniques
DOI https://doi.org/10.1051/itmconf/20257301023
Published online 17 February 2025
  1. Zhao, J., & Wu, Y. Dynamic Game Difficulty Adjustment Based on Multi-Armed Bandit Algorithms. Journal of Game Development, 15(3), 22-37 (2021). [Google Scholar]
  2. Li, F., & Luo, T. Adaptive Game Balancing System Using Multi-Armed Bandit. International Journal of Gaming and Computer-Mediated Simulations, 12(2), 45-60 (2022). [Google Scholar]
  3. Li, Q., & Zhang, L. Personalized Recommendation System for Online Games Using Thompson Sampling. Proceedings of the International Conference on Artificial Intelligence and Games, 34-49 (2019). [Google Scholar]
  4. Wang, H., & Sun, Y. Optimizing In-Game Advertisement Using Multi-Armed Bandits. Journal of Gaming and Business, 18(1), 77-89 (2020). [Google Scholar]
  5. Chen, J., & Zhao, Y. (2021). Virtual Item Pricing Optimization in Games Using MAB Algorithms. Gaming Economics Review, 9(1), 115-129. [Google Scholar]
  6. Zhao, X., & Li, L. Balancing In-App Purchases and Ads Using Multi-Armed Bandits. Journal of Digital Economy and Gaming, 8(2), 97-112 (2020). [Google Scholar]
  7. Yang, H., & Wang, J. Retention Rate Optimization in Mobile Games Using Multi-Armed Bandits. Mobile Gaming Journal, 5(4), 143-158 (2019). [Google Scholar]
  8. Wang, X., & Liu, T. Fair Player Matching Using MAB Algorithms in Multiplayer Games. Gaming Systems Journal, 14(3), 89-103 (2022). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.