Player Modeling via Multi-Armed Bandits

Author:

Gray Robert C.1,Zhu Jichen1,Arigo Danielle2,Forman Evan1,Ontañón Santiago1

Affiliation:

1. Drexel University, United States

2. Rowan University, United States

Funder

National Science Foundation

Publisher

ACM

Cited by 11 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. Extending a MAPE-K loop-based framework for Dynamic Difficulty Adjustment in single-player games;Entertainment Computing;2025-01

2. Beyond UCT: MAB Exploration Improvements for Monte Carlo Tree Search;2023 IEEE Conference on Games (CoG);2023-08-21

3. Integrating Players’ Perspectives in AI-Based Games: Case Studies of Player-AI Interaction Design;Proceedings of the 18th International Conference on the Foundations of Digital Games;2023-04-12

4. Leveraging Game Design Activities for Middle Grades AI Education in Rural Communities;Proceedings of the 18th International Conference on the Foundations of Digital Games;2023-04-12

5. Improving Fairness in Adaptive Social Exergames via Shapley Bandits;Proceedings of the 28th International Conference on Intelligent User Interfaces;2023-03-27

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