- Evolution, Reinforcement learning, Search
- (Pugh, Soros, and Stanley 2016; Cully and Demiris 2017)
QD is about creating algorithms that favor diversity in searching the space. In QD, one needs to both:
- Measure the quality of a solution
- Have a way to describe the effect of a solution
Solutions in QD have to be good in the two above ways.
QD is also a form of novelty search.