| dc.contributor.author | Konidaris, George D. | |
| dc.contributor.author | Kaelbling, Leslie P. | |
| dc.contributor.author | Lozano-Perez, Tomas | |
| dc.date.accessioned | 2016-01-06T15:51:51Z | |
| dc.date.available | 2016-01-06T15:51:51Z | |
| dc.date.issued | 2014-07 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/100720 | |
| dc.description.abstract | We consider the problem of constructing a symbolic description of a continuous, low-level environment for use in planning. We show that symbols that can represent the preconditions and effects of an agent's actions are both necessary and sufficient for high-level planning. This eliminates the symbol design problem when a representation must be constructed in advance, and in principle enables an agent to autonomously learn its own symbolic representations. The resulting representation can be converted into PDDL, a canonical high-level planning representation that enables very fast planning. | en_US |
| dc.description.sponsorship | Massachusetts Institute of Technology (Intelligence Initiative Fellowship) | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (Grant 1117325) | en_US |
| dc.description.sponsorship | United States. Office of Naval Research. Multidisciplinary University Research Initiative (Grant N00014-09-1-1051) | en_US |
| dc.description.sponsorship | United States. Air Force Office of Scientific Research (Grant FA2386-10-1-4135) | en_US |
| dc.description.sponsorship | Singapore. Ministry of Education (SUTD-MIT International Design Centre) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Association for the Advancement of Artificial Intelligence (AAAI) | en_US |
| dc.relation.isversionof | http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8424 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | MIT web domain | en_US |
| dc.title | Constructing Symbolic Representations for High-Level Planning | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Konidaris, George, Leslie Pack Kaelbling, and Tomas Lozano-Perez. "Constructing Symbolic Representations for High-Level Planning." 28th AAAI Conference on Artificial Intelligence (July 2014). | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.mitauthor | Konidaris, George D. | en_US |
| dc.contributor.mitauthor | Kaelbling, Leslie P. | en_US |
| dc.contributor.mitauthor | Lozano-Perez, Tomas | en_US |
| dc.relation.journal | Proceedings of the 28th AAAI Conference on Artificial Intelligence | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dspace.orderedauthors | Konidaris, George; Kaelbling, Leslie Pack; Lozano-Perez, Tomas | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0002-8657-2450 | |
| dc.identifier.orcid | https://orcid.org/0000-0001-6054-7145 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
