Evolving Flying Machines in Minecraft Using Quality Diversity
Author:
Affiliation:
1. Department of Mathematics and Computer Science, Southwestern University, Georgetown, TX, United States of America
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583131.3590352
Reference23 articles.
1. World-GAN: a Generative Model for Minecraft Worlds
2. Matthew Barthet, Antonios Liapis, and Georgios N. Yannakakis. 2022. Open-Ended Evolution for Minecraft Building Generation. IEEE Transactions on Games (2022).
3. Antoine Cully. 2021. Multi-Emitter MAP-Elites: Improving Quality, Diversity and Data Efficiency with Heterogeneous Sets of Emitters. In Genetic and Evolutionary Computation Conference. ACM.
4. Robots that can adapt like animals
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1. Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential;Lecture Notes in Computer Science;2024
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