15 citations · 15 across the 1 of their papers we have counts for
5 papers · 1 filter
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance
Ryan Boldi, Li Ding, Lee Spector
Navigating deceptive domains has often been a challenge in machine learning due to search algorithms getting stuck at sub-optimal local optima. Many algorithms have been proposed t…
Particularity
Lee Spector, Li Ding, Ryan Boldi
We describe a design principle for adaptive systems under which adaptation is driven by particular challenges that the environment poses, as opposed to average or otherwise aggrega…
Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance?
Ryan Boldi, Lee Spector
When using Quality Diversity (QD) optimization to solve hard exploration or deceptive search problems, we assume that diversity is extrinsically valuable. This means that diversity…
A Static Analysis of Informed Down-Samples
Ryan Boldi, Alexander Lalejini, Thomas Helmuth +1
We present an analysis of the loss of population-level test coverage induced by different down-sampling strategies when combined with lexicase selection. We study recorded populati…
Lexicase Selection at Scale
Li Ding, Ryan Boldi, Thomas Helmuth +1
Lexicase selection is a semantic-aware parent selection method, which assesses individual test cases in a randomly-shuffled data stream. It has demonstrated success in multiple res…