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The deadend elimination theorem and its use in protein side-chain positioning. Nature 356, 6369 (1992), 539--542. Johan Desmet, Marc De Maeyer, Bart Hazes, and Ignace Lasters. 1992. The deadend elimination theorem and its use in protein side-chain positioning. Nature 356, 6369 (1992), 539--542."},{"key":"e_1_3_2_2_12_1","volume-title":"Gianni Di Caro, and Luca M Gambardella","author":"Dorigo Marco","year":"1999","unstructured":"Marco Dorigo , Gianni Di Caro, and Luca M Gambardella . 1999 . Ant algorithms for discrete optimization. Artificial life 5, 2 (1999), 137--172. Marco Dorigo, Gianni Di Caro, and Luca M Gambardella. 1999. Ant algorithms for discrete optimization. Artificial life 5, 2 (1999), 137--172."},{"key":"e_1_3_2_2_13_1","volume-title":"Fast and stable MAP-Elites in noisy domains using deep grids. arXiv preprint arXiv:2006.14253","author":"Flageat Manon","year":"2020","unstructured":"Manon Flageat and Antoine Cully . 2020. 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Operations research 9, 6 (1961), 849--859."},{"key":"e_1_3_2_2_19_1","volume-title":"Benjam\u00edn S\u00e1nchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, Ryan P Adams, and Al\u00e1n Aspuru-Guzik.","author":"G\u00f3mez-Bombarelli Rafael","year":"2018","unstructured":"Rafael G\u00f3mez-Bombarelli , Jennifer N Wei , David Duvenaud , Jos\u00e9 Miguel Hern\u00e1ndez-Lobato , Benjam\u00edn S\u00e1nchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, Ryan P Adams, and Al\u00e1n Aspuru-Guzik. 2018 . Automatic chemical design using a data-driven continuous representation of molecules. ACS central science 4, 2 (2018), 268--276. Rafael G\u00f3mez-Bombarelli, Jennifer N Wei, David Duvenaud, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Benjam\u00edn S\u00e1nchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, Ryan P Adams, and Al\u00e1n Aspuru-Guzik. 2018. 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Unsupervised behaviour discovery with quality-diversity optimisation . IEEE Transactions on Evolutionary Computation ( 2022 ). Luca Grillotti and Antoine Cully. 2022. Unsupervised behaviour discovery with quality-diversity optimisation. IEEE Transactions on Evolutionary Computation (2022)."},{"key":"e_1_3_2_2_22_1","unstructured":"Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel etal 2018. Soft actor-critic algorithms and applications. arXiv preprint arXiv:1812.05905 (2018).  Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel et al. 2018. Soft actor-critic algorithms and applications. arXiv preprint arXiv:1812.05905 (2018)."},{"volume-title":"Neural networks: Tricks of the trade","author":"Hinton Geoffrey E","key":"e_1_3_2_2_23_1","unstructured":"Geoffrey E Hinton . 2012. A practical guide to training restricted Boltzmann machines . In Neural networks: Tricks of the trade . Springer , 599--619. Geoffrey E Hinton. 2012. A practical guide to training restricted Boltzmann machines. In Neural networks: Tricks of the trade. Springer, 599--619."},{"key":"e_1_3_2_2_24_1","volume-title":"Charlotta PI Sch\u00e4rfe","author":"Hopf Thomas A","year":"2017","unstructured":"Thomas A Hopf , John B Ingraham , Frank J Poelwijk , Charlotta PI Sch\u00e4rfe , Michael Springer , Chris Sander , and Debora S Marks. 2017 . Mutation effects predicted from sequence co-variation. Nature biotechnology 35, 2 (2017), 128--135. Thomas A Hopf, John B Ingraham, Frank J Poelwijk, Charlotta PI Sch\u00e4rfe, Michael Springer, Chris Sander, and Debora S Marks. 2017. Mutation effects predicted from sequence co-variation. 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AlphaDesign: A de novo protein design framework based on AlphaFold. bioRxiv (2021)."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"John Jumper Richard Evans Alexander Pritzel Tim Green Michael Figurnov Olaf Ronneberger Kathryn Tunyasuvunakool Russ Bates Augustin \u017d\u00eddek Anna Potapenko etal 2021. Highly accurate protein structure prediction with AlphaFold. Nature 596 7873 (2021) 583--589.  John Jumper Richard Evans Alexander Pritzel Tim Green Michael Figurnov Olaf Ronneberger Kathryn Tunyasuvunakool Russ Bates Augustin \u017d\u00eddek Anna Potapenko et al. 2021. Highly accurate protein structure prediction with AlphaFold. Nature 596 7873 (2021) 583--589.","DOI":"10.1038\/s41586-021-03819-2"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03819-2"},{"volume-title":"An automatic method for solving discrete programming problems. 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Evolutionary computation 19, 2 (2011), 189--223."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2001576.2001606"},{"key":"e_1_3_2_2_33_1","volume-title":"Accelerated Quality-Diversity for Robotics through Massive Parallelism. arXiv preprint arXiv:2202.01258","author":"Lim Bryan","year":"2022","unstructured":"Bryan Lim , Maxime Allard , Luca Grillotti , and Antoine Cully . 2022. Accelerated Quality-Diversity for Robotics through Massive Parallelism. arXiv preprint arXiv:2202.01258 ( 2022 ). Bryan Lim, Maxime Allard, Luca Grillotti, and Antoine Cully. 2022. Accelerated Quality-Diversity for Robotics through Massive Parallelism. arXiv preprint arXiv:2202.01258 (2022)."},{"key":"e_1_3_2_2_34_1","volume-title":"Genetic algorithms in optimization problems with discrete and integer design variables. Engineering optimization 19, 4","author":"Lin C-Y","year":"1992","unstructured":"C-Y Lin and Prabhat Hajela . 1992. Genetic algorithms in optimization problems with discrete and integer design variables. Engineering optimization 19, 4 ( 1992 ), 309--327. C-Y Lin and Prabhat Hajela. 1992. Genetic algorithms in optimization problems with discrete and integer design variables. Engineering optimization 19, 4 (1992), 309--327."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1101\/2022.07.20.500902"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz895"},{"key":"e_1_3_2_2_37_1","volume-title":"Silvio CE Tosatto, Lisanna Paladin, Shriya Raj, Lorna J Richardson, et al.","author":"Mistry Jaina","year":"2021","unstructured":"Jaina Mistry , Sara Chuguransky , Lowri Williams , Matloob Qureshi , Gustavo A Salazar , Erik LL Sonnhammer , Silvio CE Tosatto, Lisanna Paladin, Shriya Raj, Lorna J Richardson, et al. 2021 . Pfam : The protein families database in 2021. Nucleic acids research 49, D1 (2021), D412--D419. Jaina Mistry, Sara Chuguransky, Lowri Williams, Matloob Qureshi, Gustavo A Salazar, Erik LL Sonnhammer, Silvio CE Tosatto, Lisanna Paladin, Shriya Raj, Lorna J Richardson, et al. 2021. Pfam: The protein families database in 2021. Nucleic acids research 49, D1 (2021), D412--D419."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab491"},{"key":"e_1_3_2_2_39_1","unstructured":"Jean-Baptiste Mouret and Jeff Clune. 2015. Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909.  Jean-Baptiste Mouret and Jeff Clune. 2015. Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2739480.2754703"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449639.3459304"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2017228118"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.2017.0267"},{"volume-title":"Discrete optimization","author":"Gary Parker R","key":"e_1_3_2_2_45_1","unstructured":"R Gary Parker and Ronald L Rardin . 2014. Discrete optimization . Elsevier . R Gary Parker and Ronald L Rardin. 2014. Discrete optimization. Elsevier."},{"key":"e_1_3_2_2_46_1","volume-title":"Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization. In ICLR Workshop on Agent Learning in Open-Endedness.","author":"Pierrot Thomas","year":"2022","unstructured":"Thomas Pierrot , Valentin Mac\u00e9 , Felix Chalumeau , Arthur Flajolet , Geoffrey Cideron , Karim Beguir , Antoine Cully , Olivier Sigaud , and Nicolas Perrin-Gilbert . 2022 . Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization. In ICLR Workshop on Agent Learning in Open-Endedness. Thomas Pierrot, Valentin Mac\u00e9, Felix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, and Nicolas Perrin-Gilbert. 2022. Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization. In ICLR Workshop on Agent Learning in Open-Endedness."},{"key":"e_1_3_2_2_47_1","volume-title":"Multi-Objective Quality Diversity Optimization. arXiv preprint arXiv:2202.03057","author":"Pierrot Thomas","year":"2022","unstructured":"Thomas Pierrot , Guillaume Richard , Karim Beguir , and Antoine Cully . 2022. Multi-Objective Quality Diversity Optimization. arXiv preprint arXiv:2202.03057 ( 2022 ). Thomas Pierrot, Guillaume Richard, Karim Beguir, and Antoine Cully. 2022. Multi-Objective Quality Diversity Optimization. arXiv preprint arXiv:2202.03057 (2022)."},{"key":"e_1_3_2_2_48_1","volume-title":"International Conference on Machine Learning. PMLR, 8821--8831","author":"Ramesh Aditya","year":"2021","unstructured":"Aditya Ramesh , Mikhail Pavlov , Gabriel Goh , Scott Gray , Chelsea Voss , Alec Radford , Mark Chen , and Ilya Sutskever . 2021 . Zero-shot text-to-image generation . In International Conference on Machine Learning. PMLR, 8821--8831 . Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-shot text-to-image generation. In International Conference on Machine Learning. PMLR, 8821--8831."},{"key":"e_1_3_2_2_49_1","volume-title":"Aaron Van den Oord, and Oriol Vinyals","author":"Razavi Ali","year":"2019","unstructured":"Ali Razavi , Aaron Van den Oord, and Oriol Vinyals . 2019 . Generating diverse high-fidelity images with vq-vae-2. Advances in neural information processing systems 32 (2019). Ali Razavi, Aaron Van den Oord, and Oriol Vinyals. 2019. Generating diverse high-fidelity images with vq-vae-2. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_2_50_1","volume-title":"Deep generative models of genetic variation capture the effects of mutations. Nature methods 15, 10","author":"Riesselman Adam J","year":"2018","unstructured":"Adam J Riesselman , John B Ingraham , and Debora S Marks . 2018. Deep generative models of genetic variation capture the effects of mutations. Nature methods 15, 10 ( 2018 ), 816--822. Adam J Riesselman, John B Ingraham, and Debora S Marks. 2018. Deep generative models of genetic variation capture the effects of mutations. Nature methods 15, 10 (2018), 816--822."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2016239118"},{"key":"e_1_3_2_2_52_1","volume-title":"Discrete variational autoencoders. arXiv preprint arXiv:1609.02200","author":"Rolfe Jason Tyler","year":"2016","unstructured":"Jason Tyler Rolfe . 2016. Discrete variational autoencoders. arXiv preprint arXiv:1609.02200 ( 2016 ). Jason Tyler Rolfe. 2016. Discrete variational autoencoders. arXiv preprint arXiv:1609.02200 (2016)."},{"volume-title":"Theory of linear and integer programming","author":"Schrijver Alexander","key":"e_1_3_2_2_53_1","unstructured":"Alexander Schrijver . 1998. Theory of linear and integer programming . John Wiley & Sons . Alexander Schrijver. 1998. Theory of linear and integer programming. John Wiley & Sons."},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3389822"},{"key":"e_1_3_2_2_55_1","unstructured":"Aaron Van Den Oord Oriol Vinyals etal 2017. Neural discrete representation learning. Advances in neural information processing systems 30 (2017).  Aaron Van Den Oord Oriol Vinyals et al. 2017. Neural discrete representation learning. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2735550"},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205602"},{"volume-title":"Breakthroughs in statistics","author":"Wilcoxon Frank","key":"e_1_3_2_2_58_1","unstructured":"Frank Wilcoxon . 1992. Individual comparisons by ranking methods . In Breakthroughs in statistics . Springer , 196--202. Frank Wilcoxon. 1992. Individual comparisons by ranking methods. In Breakthroughs in statistics. 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