{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T02:42:52Z","timestamp":1769913772852,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T00:00:00Z","timestamp":1689120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,15]]},"DOI":"10.1145\/3583131.3590433","type":"proceedings-article","created":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T19:40:19Z","timestamp":1689190819000},"page":"1221-1229","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4185-0936","authenticated-orcid":false,"given":"Valentin","family":"Mac\u00e9","sequence":"first","affiliation":[{"name":"InstaDeep, Paris, France"},{"name":"Sorbonne University, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2571-3978","authenticated-orcid":false,"given":"Rapha\u00ebl","family":"Boige","sequence":"additional","affiliation":[{"name":"InstaDeep, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9476-2900","authenticated-orcid":false,"given":"Felix","family":"Chalumeau","sequence":"additional","affiliation":[{"name":"InstaDeep, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5227-6194","authenticated-orcid":false,"given":"Thomas","family":"Pierrot","sequence":"additional","affiliation":[{"name":"InstaDeep, Boston, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2738-1603","authenticated-orcid":false,"given":"Guillaume","family":"Richard","sequence":"additional","affiliation":[{"name":"InstaDeep, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8626-1938","authenticated-orcid":false,"given":"Nicolas","family":"Perrin-Gilbert","sequence":"additional","affiliation":[{"name":"Sorbonne University, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2019.8848022"},{"key":"e_1_3_2_2_2_1","volume-title":"Jamie Ryan Kiros, and Geoffrey E Hinton","author":"Ba Jimmy Lei","year":"2016","unstructured":"Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey E Hinton . 2016 . Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016)."},{"key":"e_1_3_2_2_3_1","volume-title":"Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang.","author":"Bradbury James","year":"2018","unstructured":"James Bradbury , Roy Frostig , Peter Hawkins , Matthew James Johnson , Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018 . JAX: composable transformations of Python +NumPy programs. http:\/\/github.com\/google\/jax James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018. JAX: composable transformations of Python+NumPy programs. http:\/\/github.com\/google\/jax"},{"key":"e_1_3_2_2_4_1","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901.  Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901."},{"key":"e_1_3_2_2_5_1","volume-title":"Proceedings, Part I 16","author":"Carion Nicolas","year":"2020","unstructured":"Nicolas Carion , Francisco Massa , Gabriel Synnaeve , Nicolas Usunier , Alexander Kirillov , and Sergey Zagoruyko . 2020 . End-to-end object detection with transformers. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020 , Proceedings, Part I 16 . Springer, 213--229. Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. 2020. End-to-end object detection with transformers. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part I 16. Springer, 213--229."},{"key":"e_1_3_2_2_6_1","volume-title":"Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. arXiv preprint arXiv:1910.00230","author":"Cazenille Leo","year":"2019","unstructured":"Leo Cazenille , Nicolas Bredeche , and Nathanael Aubert-Kato . 2019. Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. arXiv preprint arXiv:1910.00230 ( 2019 ). Leo Cazenille, Nicolas Bredeche, and Nathanael Aubert-Kato. 2019. Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. arXiv preprint arXiv:1910.00230 (2019)."},{"key":"e_1_3_2_2_7_1","volume-title":"Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. arXiv preprint arXiv:2210.03516","author":"Chalumeau Felix","year":"2022","unstructured":"Felix Chalumeau , Raphael Boige , Bryan Lim , Valentin Mac\u00e9 , Maxime Allard , Arthur Flajolet , Antoine Cully , and Thomas Pierrot . 2022. Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. arXiv preprint arXiv:2210.03516 ( 2022 ). Felix Chalumeau, Raphael Boige, Bryan Lim, Valentin Mac\u00e9, Maxime Allard, Arthur Flajolet, Antoine Cully, and Thomas Pierrot. 2022. Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. arXiv preprint arXiv:2210.03516 (2022)."},{"key":"e_1_3_2_2_8_1","volume-title":"Baba is Y'all: Collaborative Mixed-Initiative Level Design. arXiv preprint arXiv:2003.14294","author":"Charity Megan","year":"2020","unstructured":"Megan Charity , Ahmed Khalifa , and Julian Togelius . 2020. Baba is Y'all: Collaborative Mixed-Initiative Level Design. arXiv preprint arXiv:2003.14294 ( 2020 ). Megan Charity, Ahmed Khalifa, and Julian Togelius. 2020. Baba is Y'all: Collaborative Mixed-Initiative Level Design. arXiv preprint arXiv:2003.14294 (2020)."},{"key":"e_1_3_2_2_9_1","volume-title":"Decision transformer: Reinforcement learning via sequence modeling. Advances in neural information processing systems 34","author":"Chen Lili","year":"2021","unstructured":"Lili Chen , Kevin Lu , Aravind Rajeswaran , Kimin Lee , Aditya Grover , Misha Laskin , Pieter Abbeel , Aravind Srinivas , and Igor Mordatch . 2021. Decision transformer: Reinforcement learning via sequence modeling. Advances in neural information processing systems 34 ( 2021 ), 15084--15097. Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, and Igor Mordatch. 2021. Decision transformer: Reinforcement learning via sequence modeling. Advances in neural information processing systems 34 (2021), 15084--15097."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390217"},{"key":"e_1_3_2_2_11_1","volume-title":"Robots that can adapt like animals. Nature 521, 7553","author":"Cully Antoine","year":"2015","unstructured":"Antoine Cully , Jeff Clune , Danesh Tarapore , and Jean-Baptiste Mouret . 2015. Robots that can adapt like animals. Nature 521, 7553 ( 2015 ), 503--507. Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret. 2015. Robots that can adapt like animals. Nature 521, 7553 (2015), 503--507."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2704781"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205571"},{"key":"e_1_3_2_2_14_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462506"},{"key":"e_1_3_2_2_16_1","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly etal 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020).  Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly et al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2020.579403"},{"key":"e_1_3_2_2_18_1","volume-title":"Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. ACM Transactions on Evolutionary Learning","author":"Flageat Manon","year":"2022","unstructured":"Manon Flageat , Felix Chalumeau , and Antoine Cully . 2022. Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. ACM Transactions on Evolutionary Learning ( 2022 ). Manon Flageat, Felix Chalumeau, and Antoine Cully. 2022. Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. ACM Transactions on Evolutionary Learning (2022)."},{"key":"e_1_3_2_2_19_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. Fast and stable MAP-Elites in noisy domains using deep grids. arXiv preprint arXiv:2006.14253 ( 2020 ). Manon Flageat and Antoine Cully. 2020. Fast and stable MAP-Elites in noisy domains using deep grids. arXiv preprint arXiv:2006.14253 (2020)."},{"key":"e_1_3_2_2_20_1","volume-title":"Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. arXiv preprint arXiv:2302.00463","author":"Flageat Manon","year":"2023","unstructured":"Manon Flageat and Antoine Cully . 2023. Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. arXiv preprint arXiv:2302.00463 ( 2023 ). Manon Flageat and Antoine Cully. 2023. Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. arXiv preprint arXiv:2302.00463 (2023)."},{"key":"e_1_3_2_2_21_1","volume-title":"Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. arXiv preprint arXiv:2211.02193","author":"Flageat Manon","year":"2022","unstructured":"Manon Flageat , Bryan Lim , Luca Grillotti , Maxime Allard , Sim\u00f3n C Smith , and Antoine Cully . 2022. Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. arXiv preprint arXiv:2211.02193 ( 2022 ). Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Sim\u00f3n C Smith, and Antoine Cully. 2022. Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. arXiv preprint arXiv:2211.02193 (2022)."},{"key":"e_1_3_2_2_22_1","volume-title":"A quality diversity approach to automatically generating human-robot interaction scenarios in shared autonomy. arXiv preprint arXiv:2012.04283","author":"Fontaine Matthew","year":"2020","unstructured":"Matthew Fontaine and Stefanos Nikolaidis . 2020. A quality diversity approach to automatically generating human-robot interaction scenarios in shared autonomy. arXiv preprint arXiv:2012.04283 ( 2020 ). Matthew Fontaine and Stefanos Nikolaidis. 2020. A quality diversity approach to automatically generating human-robot interaction scenarios in shared autonomy. arXiv preprint arXiv:2012.04283 (2020)."},{"key":"e_1_3_2_2_23_1","volume-title":"Proceedings of The Genetic and Evolutionary Computation Conference. ACM.","author":"Fontaine Matthew C.","unstructured":"Matthew C. Fontaine , Scott Lee , L. B. Soros , Fernando De Mesentier Silva , Julian Togelius , and Amy K. Hoover . 2019. Mapping Hearthstone Deck Spaces with Map-Elites with Sliding Boundaries . In Proceedings of The Genetic and Evolutionary Computation Conference. ACM. Matthew C. Fontaine, Scott Lee, L. B. Soros, Fernando De Mesentier Silva, Julian Togelius, and Amy K. Hoover. 2019. Mapping Hearthstone Deck Spaces with Map-Elites with Sliding Boundaries. In Proceedings of The Genetic and Evolutionary Computation Conference. ACM."},{"key":"e_1_3_2_2_24_1","volume-title":"Brax-A Differentiable Physics Engine for Large Scale Rigid Body Simulation. arXiv preprint arXiv:2106.13281","author":"Freeman C Daniel","year":"2021","unstructured":"C Daniel Freeman , Erik Frey , Anton Raichuk , Sertan Girgin , Igor Mordatch , and Olivier Bachem . 2021. Brax-A Differentiable Physics Engine for Large Scale Rigid Body Simulation. arXiv preprint arXiv:2106.13281 ( 2021 ). C Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, and Olivier Bachem. 2021. Brax-A Differentiable Physics Engine for Large Scale Rigid Body Simulation. arXiv preprint arXiv:2106.13281 (2021)."},{"key":"e_1_3_2_2_25_1","volume-title":"Herke Van Hoof, and David Meger","author":"Fujimoto Scott","year":"2018","unstructured":"Scott Fujimoto , Herke Van Hoof, and David Meger . 2018 . Addressing function approximation error in actor-critic methods. arXiv preprint arXiv:1802.09477 (2018). Scott Fujimoto, Herke Van Hoof, and David Meger. 2018. Addressing function approximation error in actor-critic methods. arXiv preprint arXiv:1802.09477 (2018)."},{"key":"e_1_3_2_2_26_1","volume-title":"Offline reinforcement learning as one big sequence modeling problem. Advances in neural information processing systems 34","author":"Janner Michael","year":"2021","unstructured":"Michael Janner , Qiyang Li , and Sergey Levine . 2021. Offline reinforcement learning as one big sequence modeling problem. Advances in neural information processing systems 34 ( 2021 ), 1273--1286. Michael Janner, Qiyang Li, and Sergey Levine. 2021. Offline reinforcement learning as one big sequence modeling problem. Advances in neural information processing systems 34 (2021), 1273--1286."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2020.3008574"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319619.3321904"},{"key":"e_1_3_2_2_29_1","unstructured":"Kuang-Huei Lee Ofir Nachum Sherry Yang Lisa Lee C. Daniel Freeman Sergio Guadarrama Ian Fischer Winnie Xu Eric Jang Henryk Michalewski and Igor Mordatch. 2022. Multi-Game Decision Transformers. In Advances in Neural Information Processing Systems Alice H. Oh Alekh Agarwal Danielle Belgrave and Kyunghyun Cho (Eds.). https:\/\/openreview.net\/forum?id=0gouO5saq6K  Kuang-Huei Lee Ofir Nachum Sherry Yang Lisa Lee C. Daniel Freeman Sergio Guadarrama Ian Fischer Winnie Xu Eric Jang Henryk Michalewski and Igor Mordatch. 2022. Multi-Game Decision Transformers. In Advances in Neural Information Processing Systems Alice H. Oh Alekh Agarwal Danielle Belgrave and Kyunghyun Cho (Eds.). https:\/\/openreview.net\/forum?id=0gouO5saq6K"},{"key":"e_1_3_2_2_30_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_31_1","volume-title":"IEEE Robotics and Automation Letters","author":"Morrison Douglas","year":"2020","unstructured":"Douglas Morrison , Peter Corke , and Jurgen Leitner . 2020. EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation. IEEE Robotics and Automation Letters ( 2020 ). Douglas Morrison, Peter Corke, and Jurgen Leitner. 2020. EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation. IEEE Robotics and Automation Letters (2020)."},{"key":"e_1_3_2_2_32_1","volume-title":"Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909","author":"Mouret Jean-Baptiste","year":"2015","unstructured":"Jean-Baptiste Mouret and Jeff Clune . 2015. Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909 ( 2015 ). Jean-Baptiste Mouret and Jeff Clune. 2015. Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909 (2015)."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449639.3459304"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449639.3459304"},{"key":"e_1_3_2_2_35_1","volume-title":"Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization. In GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference.","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 GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. 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 GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference."},{"key":"e_1_3_2_2_36_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_37_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2016.00040"},{"key":"e_1_3_2_2_38_1","unstructured":"Alec Radford Karthik Narasimhan Tim Salimans Ilya Sutskever etal 2018. Improving language understanding by generative pre-training. (2018).  Alec Radford Karthik Narasimhan Tim Salimans Ilya Sutskever et al. 2018. Improving language understanding by generative pre-training. (2018)."},{"key":"e_1_3_2_2_39_1","unstructured":"Alec Radford Jeffrey Wu Rewon Child David Luan Dario Amodei Ilya Sutskever etal 2019. Language models are unsupervised multitask learners. OpenAI blog 1 8 (2019) 9.  Alec Radford Jeffrey Wu Rewon Child David Luan Dario Amodei Ilya Sutskever et al. 2019. Language models are unsupervised multitask learners. OpenAI blog 1 8 (2019) 9."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449639.3459320"},{"key":"e_1_3_2_2_41_1","volume-title":"Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, et al.","author":"Reed Scott","year":"2022","unstructured":"Scott Reed , Konrad Zolna , Emilio Parisotto , Sergio Gomez Colmenarejo , Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, et al. 2022 . A generalist agent. arXiv preprint arXiv:2205.06175 (2022). Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, et al. 2022. A generalist agent. arXiv preprint arXiv:2205.06175 (2022)."},{"key":"e_1_3_2_2_42_1","volume-title":"Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations. CoRR abs\/1610.05729","author":"Vassiliades Vassilis","year":"2016","unstructured":"Vassilis Vassiliades , Konstantinos I. Chatzilygeroudis , and Jean-Baptiste Mouret . 2016. Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations. CoRR abs\/1610.05729 ( 2016 ). arXiv:1610.05729 http:\/\/arxiv.org\/abs\/1610.05729 Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, and Jean-Baptiste Mouret. 2016. Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations. CoRR abs\/1610.05729 (2016). arXiv:1610.05729 http:\/\/arxiv.org\/abs\/1610.05729"},{"key":"e_1_3_2_2_43_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in neural information processing systems 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_44_1","volume-title":"AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment. arXiv preprint arXiv:2002.08245","author":"Zhang Tianping","year":"2020","unstructured":"Tianping Zhang , Yuanqi Li , Yifei Jin , and Jian Li. 2020. AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment. arXiv preprint arXiv:2002.08245 ( 2020 ). Tianping Zhang, Yuanqi Li, Yifei Jin, and Jian Li. 2020. AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment. arXiv preprint arXiv:2002.08245 (2020)."}],"event":{"name":"GECCO '23: Genetic and Evolutionary Computation Conference","location":"Lisbon Portugal","acronym":"GECCO '23","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583131.3590433","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583131.3590433","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:03Z","timestamp":1750178823000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583131.3590433"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,12]]},"references-count":44,"alternative-id":["10.1145\/3583131.3590433","10.1145\/3583131"],"URL":"https:\/\/doi.org\/10.1145\/3583131.3590433","relation":{},"subject":[],"published":{"date-parts":[[2023,7,12]]},"assertion":[{"value":"2023-07-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}