dc.contributor.author | Mueller, Erich | |
dc.contributor.author | Frazzoli, Emilio | |
dc.contributor.author | Yong, Sze Zheng | |
dc.contributor.author | Zhu, Minghui | |
dc.date.accessioned | 2015-05-08T14:49:17Z | |
dc.date.available | 2015-05-08T14:49:17Z | |
dc.date.issued | 2013-11 | |
dc.identifier.isbn | 978-1-4673-6358-7 | |
dc.identifier.isbn | 978-1-4673-6357-0 | |
dc.identifier.issn | 2153-0858 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/96938 | |
dc.description.abstract | We consider an approach-evasion differential game where the inputs of one of the players are upper bounded by a random variable. The game enjoys the order preserving property where a larger relaxation of the random variable induces a smaller value function. Two numerical computation algorithms are proposed to asymptotically recover the expected value function. The performance of the proposed algorithms is compared via a stochastically parametric homicidal chauffeur game. The algorithms are also applied to the scenario of merging lanes in urban transportation. | en_US |
dc.description.sponsorship | National Science Foundation (U.S.) (Grant 1239182) | en_US |
dc.description.sponsorship | United States. Air Force Office of Scientific Research (Grant FA8650-07-2-3744) | en_US |
dc.language.iso | en_US | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/IROS.2013.6696902 | 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 | Anytime computation algorithms for stochastically parametric approach-evasion differential games | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Mueller, Erich, Sze Zheng Yong, Minghui Zhu, and Emilio Frazzoli. “Anytime Computation Algorithms for Stochastically Parametric Approach-Evasion Differential Games.” 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (November 2013). | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | en_US |
dc.contributor.mitauthor | Mueller, Erich | en_US |
dc.contributor.mitauthor | Yong, Sze Zheng | en_US |
dc.contributor.mitauthor | Zhu, Minghui | en_US |
dc.contributor.mitauthor | Frazzoli, Emilio | en_US |
dc.relation.journal | Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems | 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 | Mueller, Erich; Sze Zheng Yong, Erich; Minghui Zhu, Erich; Frazzoli, Emilio | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-2104-3128 | |
dc.identifier.orcid | https://orcid.org/0000-0002-0505-1400 | |
dc.identifier.orcid | https://orcid.org/0000-0002-4399-8742 | |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |