Quality Diversity Algorithms

Jeff Clune discusses the concept of quality diversity algorithms, which aim to find a diverse range of high-quality solutions rather than just the single best solution. He explains how these algorithms can be applied to robotics, using the analogy of finding the fastest robot for different variations in height and weight. Clune shares insights from a robotics paper that explores the potential of quality diversity algorithms in creating robots that can walk in a variety of different ways.