{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:25:30Z","timestamp":1740201930764,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>Options framework is a prominent way to improve learning speed by means of temporally extended actions, called options. Although various attempts focusing on how to derive high quality termination conditions for options exist, the impact of initiation set generation of an option is relatively unexplored. In this work, we propose an effective heuristic method to derive useful initiation set elements via an analysis of the recent history of events.<\/jats:p>","DOI":"10.3233\/978-1-61499-672-9-1644","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:21:00Z","timestamp":1740133260000},"source":"Crossref","is-referenced-by-count":0,"title":["A History Tree Heuristic to Generate Better Initiation Sets for Options in Reinforcement Learning"],"prefix":"10.3233","author":[{"family":"Demir Alper","sequence":"additional","affiliation":[]},{"family":"&Ccedil;ilden Erkin","sequence":"additional","affiliation":[]},{"family":"Polat Faruk","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2016"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:22:27Z","timestamp":1740133347000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-671-2&spage=1644&doi=10.3233\/978-1-61499-672-9-1644"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-672-9-1644","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}