Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms. (arXiv:2205.03207v1 [cs.LG])

Web: http://arxiv.org/abs/2205.03207

While the field of Quality-Diversity (QD) has grown into a distinct branch of
stochastic optimization, a few problems, in particular locomotion and
navigation tasks, have become de facto standards. Are such benchmarks
sufficient? Are they representative of the key challenges faced by QD
algorithms? Do they provide the ability to focus on one particular challenge by
properly disentangling it from others? Do they have much predictive power in
terms of scalability and generalization? Existing benchmarks are not
standardized, and there …

algorithms arxiv benchmarks diversity