Behavioral diversity with multiple behavioral distances

  title={Behavioral diversity with multiple behavioral distances},
  author={St{\'e}phane Doncieux and Jean-Baptiste Mouret},
  journal={2013 IEEE Congress on Evolutionary Computation},
Recent results in evolutionary robotics show that explicitly encouraging the behavioral diversity of candidate solutions drastically improves the convergence of many experiments. The performance of this technique depends, however, on the choice of a behavioral similarity measure (BSM). Here we propose that the experimenter does not actually need to choose: provided that several similarity measures are conceivable, using them all could lead to better results than choosing a single one. Values… CONTINUE READING
Highly Cited
This paper has 37 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 20 extracted citations

Bootstrapping $Q$ -Learning for Robotics From Neuro-Evolution Results

IEEE Transactions on Cognitive and Developmental Systems • 2018
View 5 Excerpts

On novelty driven evolution in Poker

2016 IEEE Symposium Series on Computational Intelligence (SSCI) • 2016
View 2 Excerpts


Publications referenced by this paper.
Showing 1-10 of 26 references

Abandoning Objectives: Evolution Through the Search for Novelty Alone

Evolutionary Computation • 2011
View 6 Excerpts
Highly Influenced

Speciation in Behavioral Space for Evolutionary Robotics

Journal of Intelligent and Robotic Systems • 2011
View 4 Excerpts
Highly Influenced

Evolutionary Robotics: Exploring New Horizons

S. Doncieux, J.-B. Mouret, N. Bredeche, V. Padois
New Horizons in Evolutionary Robotics: postproceedings of the 2009 EvoDeRob workshop, • 2011
View 1 Excerpt

Evolving Symmetry for Modular System Design

IEEE Transactions on Evolutionary Computation • 2011
View 1 Excerpt

Behavioral diversity measures for Evolutionary Robotics

IEEE Congress on Evolutionary Computation • 2010
View 4 Excerpts

Similar Papers

Loading similar papers…