{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:36:03Z","timestamp":1761176163410,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Most of the work on learning action models focus on learning the actions\u2019 dynamics from input plans. This allows us to specify the valid plans of a planning task. However, very little work focuses on learning action costs, which in turn allows us to rank the different plans. In this paper we introduce a new problem: that of learning the costs of a set of actions such that a set of input plans are optimal under the resulting planning model. To solve this problem we present LACFIPk, an algorithm to learn action\u2019s costs from unlabeled input plans. We provide theoretical and empirical results showing how LACFIPk can successfully solve this task.<\/jats:p>","DOI":"10.3233\/faia250976","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:47:26Z","timestamp":1761126446000},"source":"Crossref","is-referenced-by-count":0,"title":["On Learning Action Costs from Input Plans"],"prefix":"10.3233","author":[{"given":"Marianela","family":"Morales","sequence":"first","affiliation":[{"name":"J.P. Morgan AI Research"}]},{"given":"Alberto","family":"Pozanco","sequence":"additional","affiliation":[{"name":"J.P. Morgan AI Research"}]},{"given":"Giuseppe","family":"Canonaco","sequence":"additional","affiliation":[{"name":"J.P. Morgan AI Research"}]},{"given":"Sriram","family":"Gopalakrishnan","sequence":"additional","affiliation":[{"name":"J.P. Morgan AI Research"}]},{"given":"Daniel","family":"Borrajo","sequence":"additional","affiliation":[{"name":"J.P. Morgan AI Research"}]},{"given":"Manuela","family":"Veloso","sequence":"additional","affiliation":[{"name":"J.P. Morgan AI Research"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA250976","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:47:26Z","timestamp":1761126446000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA250976"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia250976","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}