NAVER LABS Europe seminars are open to the public. This seminar is virtual and requires registration
Quality diversity optimization, from robotics to automated design
Abstract: Quality Diversity algorithms are a new class of optimization algorithms that aim finding a large set of high-performing solutions that all behave differently. They are more and more useful in many fields, from automated design, so that designers can use their own expertise to choose the final design, to robotics, so that a robot can quickly and autonomously adapt to unexpected situations. In this talk, I will first introduce MAP-Elites, which is one of the first and most popular Quality Diversity algorithms, then I will show a few recent developments, and highlight some of the most promising applications.
About the speaker: Jean-Baptiste Mouret is a senior researcher (“directeur de recherche”) at Inria, a French research institute dedicated to computer science and mathematics, in which he conducts researches that intertwine evolutionary algorithms, robotics, and machine learning to make robots more adaptive. Before joining Inria, he was an assistant professor (“maître de conférences”) at ISIR (Institute for Intelligent Systems and Robotics), which is part of Université Pierre et Marie Curie – Paris 6 (UPMC, now Sorbonne Université). He obtained a M.S. in computer science from EPITA in 2004, a M.S. in artificial intelligence from the Pierre and Marie Curie University (Paris, France) in 2005, and a Ph.D. in computer science from the same university in 2008. He was the principal investigator of an ERC grant (ResiBots – Robots with animal-like resilience, 2015-2020), which is the most prestigious grant in Europe, and the recipient of a French “ANR young researcher grant (Creadapt – Creative adaptation by Evolution, 2012-2015). His work was featured on the cover of Nature (Cully et al., 2015) and it received the “2017 ISAL Award for Distinguished Young Investigator in the field of Artificial Life, the “Outstanding Paper of 2015 award from the Society for Artificial Life (2016), the French “La Recherche” award (2016), and several best papers in international conferences.