Evolving Flying Machines in Minecraft Using Quality Diversity
February 01, 2023 ยท Declared Dead ยท ๐ Annual Conference on Genetic and Evolutionary Computation
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Authors
Alejandro Medina, Melanie Richey, Mark Mueller, Jacob Schrum
arXiv ID
2302.00782
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI
Citations
5
Venue
Annual Conference on Genetic and Evolutionary Computation
Last Checked
3 months ago
Abstract
Minecraft is a great testbed for human creativity that has inspired the design of various structures and even functioning machines, including flying machines. EvoCraft is an API for programmatically generating structures in Minecraft, but the initial work in this domain was not capable of evolving flying machines. This paper applies fitness-based evolution and quality diversity search in order to evolve flying machines. Although fitness alone can occasionally produce flying machines, thanks in part to a more sophisticated fitness function than was used previously, the quality diversity algorithm MAP-Elites is capable of discovering flying machines much more reliably, at least when an appropriate behavior characterization is used to guide the search for diverse solutions.
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