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Single-objective optimization algorithms search for the single highest-quality solution with respect to an objective.
Concrete mathematics: a foundation for computer science
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Simulated annealing
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Continuous univariate distributions, volume 2
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Convergence properties of evolution strategies with the derandomized covariance matrix adaptation: The (/i,)-es
Hansen, N., and Ostermeier, A · 1997
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Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (cma-es)
Hansen, N., Müller, S. D., and Koumoutsakos, P · 2003
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Diversity policy gradient for sample efficient quality-diversity optimization
Pierrot, T., Macé, V., Cideron, G., Beguir, K., Cully, A., Sigaud, O., and Perrin-Gilbert, N · 2006
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Comparing results of 31 algorithms from the black-box optimization benchmarking bbob-2009
Hansen, N., Auger, A., Ros, R., Finck, S., and Pošík, P · 2009
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Bidirectional relation between cma evolution strategies and natural evolution strategies
Akimoto, Y., Nagata, Y., Ono, I., and Kobayashi, S · 2010
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Revising the evolutionary computation abstraction: minimal criteria novelty search
Lehman, J., and Stanley, K. O · 2010
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Abandoning objectives: Evolution through the search for novelty alone
Lehman, J., and Stanley, K. O · 2011
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Evolving a diversity of virtual creatures through novelty search and local competition
Lehman, J., and Stanley, K. O · 2011
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Robots that can adapt like animals
Cully, A., Clune, J., Tarapore, D., and Mouret, J.-B · 2015
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Adam: A method for stochastic optimization
Kingma, D. P., and Ba, J · 2015
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Illuminating search spaces by mapping elites
Mouret, J.-B., and Clune, J · 2015
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Confronting the challenge of quality diversity
Pugh, J. K., Soros, L. B., Szerlip, P. A., and Stanley, K. O · 2015
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Testing the manifold hypothesis
Fefferman, C., Mitter, S., and Narayanan, H · 2016
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The cma evolution strategy: A tutorial
Hansen, N · 2016
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Rapid phenotypic landscape exploration through hierarchical spatial partitioning
Smith, D., Tokarchuk, L., and Wiggins, G · 2016
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How the strictness of the minimal criterion impacts open-ended evolution
Stanley, K. O., Cheney, N., and Soros, L · 2016
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Minimal criterion coevolution: a new approach to open-ended search
Brant, J. C., and Stanley, K. O · 2017
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Quality and diversity optimization: A unifying modular framework
Cully, A., and Demiris, Y · 2017
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Open-endedness: The last grand challenge you’ve never heard of
Stanley, K. O., Lehman, J., and Soros, L · 2017
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Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents
Conti, E., Madhavan, V., Petroski Such, F., Lehman, J., Stanley, K., and Clune, J · 2018
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Data-efficient design exploration through surrogate-assisted illumination
Gaier, A., Asteroth, A., and Mouret, J.-B · 2018
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Talakat: Bullet hell generation through constrained map-elites
Khalifa, A., Lee, S., Nealen, A., and Togelius, J · 2018
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Dynamic mutation in map-elites for robotic repertoire generation
Nordmoen, J., Samuelsen, E., Ellefsen, K. O., and Glette, K · 2018
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Using centroidal voronoi tessellations to scale up the multidimensional archive of phenotypic elites algorithm
Vassiliades, V., Chatzilygeroudis, K., and Mouret, J.-B · 2018
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Discovering the elite hypervolume by leveraging interspecies correlation
Vassiliades, V., and Mouret, J.-B · 2018
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Exploring self-assembling behaviors in a swarm of bio-micro-robots using surrogate-assisted map-elites-elites
Cazenille, L., Bredeche, N., and Aubert-Kato, N · 2019
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Autonomous skill discovery with quality-diversity and unsupervised descriptors
Cully, A · 2019
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Mapping hearthstone deck spaces through map-elites with sliding boundaries
Fontaine, M. C., Lee, S., Soros, L. B., de Mesentier Silva, F., Togelius, J., and Hoover, A. K · 2019
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Procedural content generation through quality diversity
Gravina, D., Khalifa, A., Liapis, A., Togelius, J., and Yannakakis, G. N · 2019
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A style-based generator architecture for generative adversarial networks
On the importance of environments in human-robot coordination
Fontaine, M., Hsu, S., Zhang, Y., Tjanaka, B., and Nikolaidis, S · 2021
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Differentiable quality diversity
Fontaine, M., and Nikolaidis, S · 2021
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A quality diversity approach to automatically generating human-robot interaction scenarios in shared autonomy
Fontaine, M., and Nikolaidis, S · 2021
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Illuminating mario scenes in the latent space of a generative adversarial network
Fontaine, M. C., Liu, R., Togelius, J., Hoover, A. K., and Nikolaidis, S · 2021
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Evaluating human-robot interaction algorithms in shared autonomy via quality diversity scenario generation
Fontaine, M. C., and Nikolaidis, S · 2021
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Clipdraw: Exploring text-to-drawing synthesis through language-image encoders
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Karras, T., Laine, S., and Aila, T · 2019
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This dataset does not exist: training models from generated images
Besnier, V., Jain, H., Bursuc, A., Cord, M., and Pérez, P · 2020
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Diversity preservation in minimal criterion coevolution through resource limitation
Brant, J. C., and Stanley, K. O · 2020
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Scaling map-elites to deep neuroevolution
Colas, C., Madhavan, V., Huizinga, J., and Clune, J · 2020
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Open questions in creating safe open-ended ai: tensions between control and creativity
Ecoffet, A., Clune, J., and Lehman, J · 2020
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Covariance matrix adaptation for the rapid illumination of behavior space
Fontaine, M. C., Togelius, J., Nikolaidis, S., and Hoover, A. K · 2020
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Discovering representations for black-box optimization
Gaier, A., Asteroth, A., and Mouret, J.-B · 2020
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Frans, K., Soros, L., and Witkowski, O · 2021
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Expressivity of parameterized and data-driven representations in quality diversity search
Hagg, A., Berns, S., Asteroth, A., Colton, S., and Bäck, T · 2021
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Unsolved problems in ml safety
Hendrycks, D., Carlini, N., Schulman, J., and Steinhardt, J · 2021
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Generative models as a data source for multiview representation learning
Jahanian, A., Puig, X., Tian, Y., and Isola, P · 2021
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Alias-free generative adversarial networks
Karras, T., Aittala, M., Laine, S., Härkönen, E., Hellsten, J., Lehtinen, J., and Aila, T · 2021
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Dynamics-aware quality-diversity for efficient learning of skill repertoires
Lim, B., Grillotti, L., Bernasconi, L., and Cully, A · 2021
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Policy gradient assisted map-elites
Nilsson, O., and Cully, A · 2021
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Sparse reward exploration via novelty search and emitters
Paolo, G., Coninx, A., Doncieux, S., and Laflaquière, A · 2021
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Generating images from prompts using clip and stylegan, 2021
Perez, V · 2021
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Learning transferable visual models from natural language supervision
Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I · 2021
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Policy manifold search: Exploring the manifold hypothesis for diversity-based neuroevolution
Rakicevic, N., Cully, A., and Kormushev, P · 2021
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Sarkar, A., and Cooper, S · 2021
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Monte carlo elites: Quality-diversity selection as a multi-armed bandit problem
Sfikas, K., Liapis, A., and Yannakakis, G. N · 2021
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Illuminating the space of beatable lode runner levels produced by various generative adversarial networks
Steckel, K., and Schrum, J · 2021
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pyribs: A bare-bones python library for quality diversity optimization
Tjanaka, B., Fontaine, M. C., Zhang, Y., Sommerer, S., Dennler, N., and Nikolaidis, S · 2021
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Deep surrogate assisted map-elites for automated hearthstone deckbuilding
Zhang, Y., Fontaine, M. C., Hoover, A. K., and Nikolaidis, S · 2021
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Deep surrogate assisted generation of environments
Bhatt, V., Tjanaka, B., Fontaine, M., and Nikolaidis, S · 2022
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Vqgan-clip: Open domain image generation and editing with natural language guidance
Crowson, K., Biderman, S., Kornis, D., Stander, D., Hallahan, E., Castricato, L., and Raff, E · 2022
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Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms
Grillotti, L., and Cully, A · 2022
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Accelerated quality-diversity for robotics through massive parallelism
Lim, B., Allard, M., Grillotti, L., and Cully, A · 2022
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Approximating gradients for differentiable quality diversity in reinforcement learning
Tjanaka, B., Fontaine, M. C., Togelius, J., and Nikolaidis, S · 2022
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