dc.contributor.author | Rabideau, G. | en_US |
dc.contributor.author | Engelhardt, B. | en_US |
dc.contributor.author | Chien, S. | en_US |
dc.date.accessioned | 2004-09-23T17:40:30Z | |
dc.date.available | 2004-09-23T17:40:30Z | |
dc.date.issued | 2000-04-14 | en_US |
dc.identifier.citation | International Conference in Artificial Intelligence Planning and Scheduling (AIPS 2000) | en_US |
dc.identifier.citation | Breckenridge, CO, USA | en_US |
dc.identifier.clearanceno | 00-0399 | en_US |
dc.identifier.uri | http://hdl.handle.net/2014/14017 | |
dc.description.abstract | We describe a methodology for representing and optimizing user preferences on plans. | en_US |
dc.format.extent | 1135360 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.subject.other | planning scheduling optimization plan quality | en_US |
dc.title | Using Generic Preferences to Incrementally Improve Plan Quality | en_US |