Generating Game Levels of Diverse Behaviour Engagement
Author:
Affiliation:
1. Research Institute of Trustworthy Autonomous System Southern University of Science and Technology (SUSTech),Shenzhen,China
Funder
Shenzhen Fundamental Research Program
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9893561/9893544/09893697.pdf?arnumber=9893697
Reference27 articles.
1. Sequential Segment-based Level Generation and Blending using Variational Autoencoders
2. Generation of Diverse Stages in Turn-Based Role-Playing Game using Reinforcement Learning
3. Player-adaptive Spelunky level generation
4. Personalized procedural content generation to minimize frustration and boredom based on ranking algorithm;yu,2011
5. Adapting Procedural Content Generation to Player Personas Through Evolution
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