963 citations · 1k across the 19 of their papers we have counts for
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Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
David M. Bossens, Danesh Tarapore
Quality-Diversity (QD) algorithms evolve behaviourally diverse and high-performing solutions. To illuminate the elite solutions for a space of behaviours, QD algorithms require the…
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
David M. Bossens, Danesh Tarapore
In Quality-Diversity (QD) algorithms, which evolve a behaviourally diverse archive of high-performing solutions, the behaviour space is a difficult design choice that should be tai…
QED: using Quality-Environment-Diversity to evolve resilient robot swarms
David M. Bossens, Danesh Tarapore
In swarm robotics, any of the robots in a swarm may be affected by different faults, resulting in significant performance declines. To allow fault recovery from randomly injected f…
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Joel Lehman, Jeff Clune, Dusan Misevic +50
Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them. However, because evolution is an algorithmic pr…
Evolvability signatures of generative encodings: beyond standard performance benchmarks
Danesh Tarapore, Jean-Baptiste Mouret
Evolutionary robotics is a promising approach to autonomously synthesize machines with abilities that resemble those of animals, but the field suffers from a lack of strong foundat…