{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:31:00Z","timestamp":1723015860043},"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":[[2019,8]]},"abstract":"<jats:p>We tackle two long-standing problems related to re-expansions in heuristic search algorithms. For graph search, A* can require \u03a9(2\u207f) expansions, where n is the number of states within the final f bound. Existing algorithms that address this problem like B and B\u2019 improve this bound to \u03a9(n\u00b2). For tree search, IDA* can also require \u03a9(n\u00b2) expansions. We describe a new algorithmic framework that iteratively controls an expansion budget and solution cost limit, giving rise to new graph and tree search algorithms for which the number of expansions is O(n log C*), where C* is the optimal solution cost. Our experiments show that the new algorithms are robust in scenarios where existing algorithms fail. In the case of tree search, our new algorithms have no overhead over IDA* in scenarios to which IDA* is well suited and can therefore be recommended as a general replacement for IDA*.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/174","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:46:05Z","timestamp":1564285565000},"page":"1249-1257","source":"Crossref","is-referenced-by-count":0,"title":["Iterative Budgeted Exponential Search"],"prefix":"10.24963","author":[{"given":"Malte","family":"Helmert","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Basel, Switzerland"}]},{"given":"Tor","family":"Lattimore","sequence":"additional","affiliation":[{"name":"DeepMind, London, UK"}]},{"given":"Levi H. S.","family":"Lelis","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica, Universidade Federal de Vi\u00e7osa, Brazil"}]},{"given":"Laurent","family":"Orseau","sequence":"additional","affiliation":[{"name":"DeepMind, London, UK"}]},{"given":"Nathan R.","family":"Sturtevant","sequence":"additional","affiliation":[{"name":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2019","name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","start":{"date-parts":[[2019,8,10]]},"theme":"Artificial Intelligence","location":"Macao, China","end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:47:20Z","timestamp":1564285640000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/174"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/174","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}