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We focus on the challenge of finding a diverse collection of quality solutions on complex continuous domains.
Evaluating MAP-Elites on Constrained Optimization Problems
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Evaluating the CMA evolution strategy on multimodal test functions. In International Conference on Parallel Problem Solving from Nature
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Niche Radius Adaptation in the CMA-ES Niching Algorithm. In Proceedings of the 9th International Conference on Parallel Problem Solving from Nature
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Exploiting Open-Endedness to Solve Problems through the Search for Novelty. In Proceedings of the Eleventh International Conference on Artificial Life (Alife XI)
Joel Lehman and Kenneth O. Stanley. 2008 · 2008
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Comparing Results of 31 Algorithms from the Black-Box Optimization Benchmarking BBOB-2009
Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen Finck, and Petr Pošík. 2010 · 2009
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Exponential natural evolution strategies. In Proceedings of the 12th annual conference on Genetic and evolutionary computation
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Abandoning Objectives: Evolution through the Search for Novelty Alone
Joel Lehman and Kenneth O. Stanley. 2011a · 2011
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Improved Topological Niching for Real-valued Global Optimization. In Proceedings of the 2012T European Conference on Applications of Evolutionary Computation
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The arcade learning environment: An evaluation platform for general agents
Marc G Bellemare, Yavar Naddaf, Joel Veness, and Michael Bowling. 2013 · 2013
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Behavioral Repertoire Learning in Robotics. In Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation (GECCO ‘13)
Antoine Cully and Jean-Baptiste Mouret. 2013 · 2013
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Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret. 2015 · 2015
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Confronting the Challenge of Quality Diversity. In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation
Justin K. Pugh, L. B. Soros, Paul A. Szerlip, and Kenneth O. Stanley. 2015 · 2015
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Evolving a Behavioral Repertoire for a Walking Robot
Antoine Cully and Jean-Baptiste Mouret. 2016 · 2016
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The CMA evolution strategy: A tutorial
Nikolaus Hansen. 2016 · 2016
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COCO: A platform for comparing continuous optimizers in a black-box setting
N. Hansen, A. Auger, O. Mersmann, T. Tusar, and D. Brockhoff. 2016 · 2016
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Quality Diversity: A New Frontier for Evolutionary Computation
Justin K. Pugh, Lisa B. Soros, and Kenneth O. Stanley. 2016 · 2016
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Rapid phenotypic landscape exploration through hierarchical spatial partitioning. In International conference on parallel problem solving from nature
Davy Smith, Laurissa Tokarchuk, and Geraint Wiggins. 2016 · 2016
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Evolving the hearthstone meta. In 2019 IEEE Conference on Games (CoG)
Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C Fontaine, Julian Togelius, and Amy K Hoover. 2019 · 2019
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Sabberstone
Cedric Decoster, Jean Seong Bjorn Choe, et al · 2019
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Hearthstone
Blizzard Entertainment. [n. d.] · 2019
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EvoStone
Matthew Fontaine. 2019a · 2019
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QualDivBenchmark
Matthew Fontaine. 2019b · 2019
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Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries. In Proceedings of the Genetic and Evolutionary Computation Conference
Matthew C. Fontaine, Scott Lee, L. B. Soros, Fernando de Mesentier Silva, Julian Togelius, and Amy K. Hoover. 2019 · 2019
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Exploring the Hearthstone Deck Space. In Proceedings of the 13th International Conference on the Foundations of Digital Games
Aditya Bhatt, Scott Lee, Fernando de Mesentier Silva, Connor W. Watson, Julian Togelius, and Amy K. Hoover. 2018 · 2018
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Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. In Proceedings of the 32Nd International Conference on Neural Information Processing Systems
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, and Jeff Clune. 2018 · 2018
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Talakat: Bullet Hell Generation Through Constrained Map-elites. In Proceedings of the Genetic and Evolutionary Computation Conference
Ahmed Khalifa, Scott Lee, Andy Nealen, and Julian Togelius. 2018 · 2018
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Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. In 2018 IEEE Conference on Computational Intelligence and Games (CIG)
Maciej Świechowski, Tomasz Tajmajer, and Andrzej Janusz. 2018 · 2018
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Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm
Vassilis Vassiliades, Konstantinos Chatzilygeroudis, and Jean-Baptiste Mouret. 2018 · 2018
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Discovering the elite hypervolume by leveraging interspecies correlation. In Proceedings of the Genetic and Evolutionary Computation Conference
Vassiiis Vassiliades and Jean-Baptiste Mouret. 2018 · 2018
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Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites
Alberto Alvarez, Steve Dahlskog, Jose Font, and Julian Togelius. 2019 · 2019
Cited alongside, same era.
Are Quality Diversity Algorithms Better at Generating Stepping Stones than Objective-Based Search?. In Proceedings of the Genetic and Evolutionary Computation Conference Companion
Adam Gaier, Alexander Asteroth, and Jean-Baptiste Mouret. 2019 · 2019
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Optimizing Hearthstone agents using an evolutionary algorithm
Pablo García-Sánchez, Alberto Tonda, Antonio J Fernández-Leiva, and Carlos Cotta. 2019 · 2019
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Procedural Content Generation through Quality Diversity
Daniele Gravina, Ahmed Khalifa, Antonios Liapis, Julian Togelius, and Georgios Yannakakis. 2019 · 2019
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The Many AI Challenges of Hearthstone
Amy K Hoover, Julian Togelius, Scott Lee, and Fernando de Mesentier Silva. 2019 · 2019
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Intentional computational level design. In Proceedings of The Genetic and Evolutionary Computation Conference
Ahmed Khalifa, Michael Cerny Green, Gabriella Barros, and Julian Togelius. 2019 · 2019
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Tempo Rogue
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
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