{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T21:28:49Z","timestamp":1786656529145,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,13]]},"DOI":"10.1145\/3795101.3805302","type":"proceedings-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T20:45:38Z","timestamp":1786653938000},"page":"141-144","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Continual Evolution Strategies in Control Tasks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1169-9506","authenticated-orcid":false,"given":"Nicola","family":"Pitzalis","sequence":"first","affiliation":[{"name":"University of Pisa, Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7170-7108","authenticated-orcid":false,"given":"Eleni","family":"Nisioti","sequence":"additional","affiliation":[{"name":"IT University of Copenhagen, Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0003-2323","authenticated-orcid":false,"given":"Antonio","family":"Carta","sequence":"additional","affiliation":[{"name":"University of Pisa, Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5213-2468","authenticated-orcid":false,"given":"Davide","family":"Bacciu","sequence":"additional","affiliation":[{"name":"University of Pisa, Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4874-8830","authenticated-orcid":false,"given":"Andrea","family":"Cossu","sequence":"additional","affiliation":[{"name":"University of Pisa, Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the Adaptive and Learning Agents Workshop (ALA","author":"Callaghan Adam","year":"2023","unstructured":"Adam Callaghan, Karl Mason, and Patrick Mannion. 2023. Evolutionary strategy guided reinforcement learning via multi-buffer communication. In Proceedings of the Adaptive and Learning Agents Workshop (ALA 2023). London, UK."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3057446"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","unstructured":"Tyler L. Hayes Giri P. Krishnan Maxim Bazhenov Hava T. Siegelmann Terrence J. Sejnowski and Christopher Kanan. 2021. Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural computation 33 11 2908\u20132950. 10.1162\/neco_a_01433","DOI":"10.1162\/neco_a_01433"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3013848"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.13673"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.004"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_37"},{"key":"e_1_3_2_1_10_1","unstructured":"David Lopez-Paz and Marc'Aurelio Ranzato. 2017. Gradient episodic memory for continual learning. In Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_11_1","unstructured":"Aojun Lu Junchao Ke Chunhui Ding Jiahao Fan Jiancheng Lv and Yanan Sun. 2025. Achieving deep continual learning via evolution. arXiv preprint arXiv:2502.06210. https:\/\/arxiv.org\/abs\/2502.06210."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3213473"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.01.012"},{"key":"e_1_3_2_1_14_1","volume-title":"Rolnick","author":"David","year":"2019","unstructured":"David et al. Rolnick. 2019. Experience replay for continual learning. Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_15_1","unstructured":"Tim Salimans Jonathan Ho Xi Chen Szymon Sidor and Ilya Sutskever. 2017. Evolution strategies as a scalable alternative to reinforcement learning. arXiv preprint arXiv:1703.03864."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.65109\/ULXN2173"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"key":"e_1_3_2_1_18_1","article-title":"Natural evolution strategies","volume":"15","author":"Wierstra Daan","year":"2014","unstructured":"Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jan Peters, and J\u00fcrgen Schmidhuber. 2014. Natural evolution strategies. J. Mach. Learn. Res., 15, 1, (Jan. 2014), 949\u2013980.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning. PMLR, 11393\u201311403","author":"Xie Annie","year":"2021","unstructured":"Annie Xie, James Harrison, and Chelsea Finn. 2021. Deep Reinforcement Learning amidst Continual Structured Non-Stationarity. In Proceedings of the 38th International Conference on Machine Learning. PMLR, 11393\u201311403."}],"event":{"name":"GECCO '26 Companion: Genetic and Evolutionary Computation Conference Companion","location":"Centro Internacional de Convenciones CIC-ANDE San Jose Costa Rica","acronym":"GECCO '26 Companion","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3795101.3805302","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T20:52:29Z","timestamp":1786654349000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3795101.3805302"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,13]]},"references-count":19,"alternative-id":["10.1145\/3795101.3805302","10.1145\/3795101"],"URL":"https:\/\/doi.org\/10.1145\/3795101.3805302","relation":{},"subject":[],"published":{"date-parts":[[2026,7,13]]},"assertion":[{"value":"2026-08-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}