Practical solution techniques for first-order MDPs
| dc.contributor.author | Sanner, Scott | |
| dc.contributor.author | Boutilier, Craig | |
| dc.date.accessioned | 2015-12-10T22:23:52Z | |
| dc.date.issued | 2009 | |
| dc.date.updated | 2016-02-24T11:43:55Z | |
| dc.description.abstract | Many traditional solution approaches to relationally specified decision-theoretic planning problems (e.g., those stated in the probabilistic planning domain description language, or PPDDL) ground the specification with respect to a specific instantiation | |
| dc.identifier.issn | 0004-3702 | |
| dc.identifier.uri | http://hdl.handle.net/1885/53008 | |
| dc.publisher | Elsevier | |
| dc.source | Artificial Intelligence | |
| dc.subject | Keywords: Formal logic; Linearization; Specifications; Approximate linear programming; Decision-theoretic; First orders; First-order logic; International planning competitions; Markov decision process; MDPs; Planning problems; Practical solutions; Probabilistic pla First-order logic; MDPs; Planning | |
| dc.title | Practical solution techniques for first-order MDPs | |
| dc.type | Journal article | |
| local.bibliographicCitation.lastpage | 788 | |
| local.bibliographicCitation.startpage | 748 | |
| local.contributor.affiliation | Sanner, Scott, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Boutilier, Craig, University of Toronto | |
| local.contributor.authoruid | Sanner, Scott, u1817461 | |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | |
| local.identifier.absfor | 080101 - Adaptive Agents and Intelligent Robotics | |
| local.identifier.ariespublication | u8803936xPUB261 | |
| local.identifier.citationvolume | 173 | |
| local.identifier.doi | 10.1016/j.artint.2008.11.003 | |
| local.identifier.scopusID | 2-s2.0-60549103706 | |
| local.type.status | Published Version |