Search Results for author:
Found 9 papers, 1 papers with code
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance
Furthermore, we find that this technique results in competitive performance on the diversity-focused metrics of QD-Score and Coverage, without explicitly optimizing for these things.
Particularity
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 aggregated measures of performance over many challenges.
Improving Recommendation System Serendipity Through Lexicase Selection
Recommender systems influence almost every aspect of our digital lives.
Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance?
This means that diversity is important to help us reach an objective, but is not an objective in itself.
Analyzing the Interaction Between Down-Sampling and Selection
We verified that down-sampling can benefit the problem-solving success of both fitness-proportionate and tournament selection.
A Static Analysis of Informed Down-Samples
We present an analysis of the loss of population-level test coverage induced by different down-sampling strategies when combined with lexicase selection.
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving
Random down-sampled lexicase selection evaluates individuals on only a random subset of the training cases allowing for more individuals to be explored with the same amount of program executions.
Lexicase Selection at Scale
Lexicase selection is a semantic-aware parent selection method, which assesses individual test cases in a randomly-shuffled data stream.
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection
Although this down-sampling procedure has been shown to significantly improve performance across a variety of problems, it does not seem to do so due to encouraging adaptability through environmental change.
