| dc.contributor.author | Konidaris, George | |
| dc.contributor.author | Kaelbling, Leslie P | |
| dc.contributor.author | Lozano-Perez, Tomas | |
| dc.date.accessioned | 2018-06-22T18:13:03Z | |
| dc.date.available | 2018-06-22T18:13:03Z | |
| dc.date.issued | 2015-07 | |
| dc.identifier.isbn | 978-1-57735-738-4 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/116532 | |
| dc.description.abstract | We introduce a framework that enables an agent to autonomously learn its own symbolic representation of a low-level, continuous environment. Propositional symbols are formalized as names for probability distributions, providing a natural means of dealing with uncertain representations and probabilistic plans. We determine the symbols that are sufficient for computing the probability with which a plan will succeed, and demonstrate the acquisition of a symbolic representation in a computer game domain. | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (grant 1420927) | en_US |
| dc.description.sponsorship | United States. Office of Naval Research (grant N00014-14-1-0486) | en_US |
| dc.description.sponsorship | United States. Air Force. Office of Scientific Research (grant FA23861014135) | en_US |
| dc.description.sponsorship | United States. Army Research Office (grant W911NF1410433) | en_US |
| dc.description.sponsorship | MIT Intelligence Initiative | en_US |
| dc.language.iso | en_US | |
| dc.publisher | AAAI Press / International Joint Conferences on Artificial Intelligence | en_US |
| dc.relation.isversionof | http://dl.acm.org/citation.cfm?id=2832754 | 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 | Symbol acquisition for probabilistic high-level planning | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Konidaris, George et al. "Symbol Acquisition for Probabilistic High-Level Planning" Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI),Buenos Aires, Argentina, AAAI Press / International Joint Conferences on Artificial Intelligence, 2015. | 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 | Kaelbling, Leslie P | |
| dc.contributor.mitauthor | Lozano-Perez, Tomas | |
| dc.relation.journal | 24th International Joint Conference on Artificial Intelligence (IJCAI 2015) | 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.embargo.terms | N | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0001-6054-7145 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-8657-2450 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
