An interactive quality diversity method is introduced that models user selections to penalize optimization drift, evaluated on a new multimodal benchmark and compared to alternatives on planning and neuroevolution tasks.
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Modeling User Selection in Quality Diversity
An interactive quality diversity method is introduced that models user selections to penalize optimization drift, evaluated on a new multimodal benchmark and compared to alternatives on planning and neuroevolution tasks.