Speaker
Dominika Zogatová
(Department of Mathematics, FNSPE, Czech Technical University in Prague)
Description
Evolutionary algorithms are known to converge to non-evolving populations rather quickly. Rewarding with respect to an objective does not improve overall performance. Novelty Search is one of the solutions to this problem. We explored and developed techniques which can complement the popular divergent algorithm called Novelty Search. We believe its main drawback lies in attempting to define the diversity of a population. In our case, we instead explored approaches where novelty arises from more basic principles, such as the environment itself.
Primary author
Dominika Zogatová
(Department of Mathematics, FNSPE, Czech Technical University in Prague)
