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dc.contributor.authorMueller, Erich
dc.contributor.authorFrazzoli, Emilio
dc.contributor.authorYong, Sze Zheng
dc.contributor.authorZhu, Minghui
dc.date.accessioned2015-05-08T14:49:17Z
dc.date.available2015-05-08T14:49:17Z
dc.date.issued2013-11
dc.identifier.isbn978-1-4673-6358-7
dc.identifier.isbn978-1-4673-6357-0
dc.identifier.issn2153-0858
dc.identifier.urihttp://hdl.handle.net/1721.1/96938
dc.description.abstractWe 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.sponsorshipNational Science Foundation (U.S.) (Grant 1239182)en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (Grant FA8650-07-2-3744)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/IROS.2013.6696902en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleAnytime computation algorithms for stochastically parametric approach-evasion differential gamesen_US
dc.typeArticleen_US
dc.identifier.citationMueller, 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.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorMueller, Erichen_US
dc.contributor.mitauthorYong, Sze Zhengen_US
dc.contributor.mitauthorZhu, Minghuien_US
dc.contributor.mitauthorFrazzoli, Emilioen_US
dc.relation.journalProceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systemsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsMueller, Erich; Sze Zheng Yong, Erich; Minghui Zhu, Erich; Frazzoli, Emilioen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2104-3128
dc.identifier.orcidhttps://orcid.org/0000-0002-0505-1400
dc.identifier.orcidhttps://orcid.org/0000-0002-4399-8742
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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