{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T07:22:29Z","timestamp":1774941749434,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p>Dynamic Algorithm Configuration (DAC) aims to dynamically control a target algorithm's hyperparameters in order to improve its performance.\n\nSeveral theoretical and empirical results have demonstrated the benefits of dynamically controlling hyperparameters in domains like evolutionary computation, AI Planning or deep learning.\n\nReplicating these results, as well as studying new methods for DAC, however, is difficult since existing benchmarks are often specialized and incompatible with the same interfaces.\n\nTo facilitate benchmarking and thus research on DAC, we propose DACBench, a benchmark library that seeks to collect and standardize existing DAC benchmarks from different AI domains, as well as provide a template for new ones.\n\nFor the design of DACBench, we focused on important desiderata, such as (i) flexibility, (ii) reproducibility, (iii) extensibility and (iv) automatic documentation and visualization.\n\nTo show the potential, broad applicability and challenges of DAC, we explore how a set of six initial benchmarks compare in several dimensions of difficulty.<\/jats:p>","DOI":"10.24963\/ijcai.2021\/230","type":"proceedings-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T11:00:49Z","timestamp":1628679649000},"page":"1668-1674","source":"Crossref","is-referenced-by-count":11,"title":["DACBench: A Benchmark Library for Dynamic Algorithm Configuration"],"prefix":"10.24963","author":[{"given":"Theresa","family":"Eimer","sequence":"first","affiliation":[{"name":"Leibniz University Hannover"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9","family":"Biedenkapp","sequence":"additional","affiliation":[{"name":"University of Freiburg"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maximilian","family":"Reimer","sequence":"additional","affiliation":[{"name":"Leibniz Universit\u00e4t Hannover"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"Adriansen","sequence":"additional","affiliation":[{"name":"University of Freiburg"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank","family":"Hutter","sequence":"additional","affiliation":[{"name":"University of Freiburg"},{"name":"Bosch Center for Artificial Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marius","family":"Lindauer","sequence":"additional","affiliation":[{"name":"Leibniz University Hannover"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}","theme":"Artificial Intelligence","location":"Montreal, Canada","acronym":"IJCAI-2021","number":"30","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2021,8,19]]},"end":{"date-parts":[[2021,8,27]]}},"container-title":["Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T11:02:08Z","timestamp":1628679728000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2021\/230"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2021\/230","relation":{},"subject":[],"published":{"date-parts":[[2021,8]]}}}