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The Ethereal
Multi-Task Multi-Behavior MAP-Elites
May 02, 2023 ยท Declared Dead ยท ๐ GECCO Companion
"No code URL or promise found in abstract"
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Authors
Anne, Mouret
arXiv ID
2305.01264
Category
cs.NE: Neural & Evolutionary
Citations
9
Venue
GECCO Companion
Last Checked
4 months ago
Abstract
We propose Multi-Task Multi-Behavior MAP-Elites, a variant of MAP-Elites that finds a large number of high-quality solutions for a large set of tasks (optimization problems from a given family). It combines the original MAP-Elites for the search for diversity and Multi-Task MAP-Elites for leveraging similarity between tasks. It performs better than three baselines on a humanoid fault-recovery set of tasks, solving more tasks and finding twice as many solutions per solved task.
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