Behavioral Foundation Models for Quality Diversity
The effectiveness of the BFM-QD framework is shown, benefiting from the synergy between dimensionality reduction of the search space and offline pretraining from diverse behavioral data, which positions BFMs as a general-purpose backbone for QD optimization.
Nazim Bendib, Nicolas Perrin-Gilbert, Olivier Sigaud
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