{"id":"https://openalex.org/W4315489041","doi":"https://doi.org/10.1109/cdc51059.2022.9992967","title":"Hierarchical Decompositions of Stochastic Pursuit-Evasion Games","display_name":"Hierarchical Decompositions of Stochastic Pursuit-Evasion Games","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4315489041","doi":"https://doi.org/10.1109/cdc51059.2022.9992967"},"language":"en","primary_location":{"id":"doi:10.1109/cdc51059.2022.9992967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc51059.2022.9992967","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103105171","display_name":"Yue Guan","orcid":"https://orcid.org/0009-0008-9603-4171"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yue Guan","raw_affiliation_strings":["Georgia Institute of Technology,Candidate With the School of Aerospace Engineering,Atlanta,GA,USA","Candidate With the School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Candidate With the School of Aerospace Engineering,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Candidate With the School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058805152","display_name":"Mohammad Afshari","orcid":"https://orcid.org/0000-0003-0425-1491"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Afshari","raw_affiliation_strings":["Georgia Institute of Technology,Postdoctoral Fellow With the Institute for Robotics and Intelligent Machines,Atlanta,GA,USA","Postdoctoral Fellow With the Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Postdoctoral Fellow With the Institute for Robotics and Intelligent Machines,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Postdoctoral Fellow With the Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708487","display_name":"Qifan Zhang","orcid":"https://orcid.org/0000-0002-4027-1353"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qifan Zhang","raw_affiliation_strings":["Mountain View,Currently a Software Engineer at Google,CA,USA","Currently a Software Engineer at Google, Mountain View, CA, USA","Georgia Tech"],"affiliations":[{"raw_affiliation_string":"Mountain View,Currently a Software Engineer at Google,CA,USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Currently a Software Engineer at Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Georgia Tech","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077667229","display_name":"Panagiotis Tsiotras","orcid":"https://orcid.org/0000-0001-7563-4129"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panagiotis Tsiotras","raw_affiliation_strings":["Georgia Institute of Technology,School of Aerospace Engineering,Atlanta,GA,USA","School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Aerospace Engineering,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103105171"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.3887,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83994276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5062","last_page":"5067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pursuit-evasion","display_name":"Pursuit-evasion","score":0.6589353084564209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6330795884132385},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.593883216381073},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5601372718811035},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.5202216506004333},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48731669783592224},{"id":"https://openalex.org/keywords/ode","display_name":"Ode","score":0.45565059781074524},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45442959666252136},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42269012331962585},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40078991651535034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28957629203796387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2655390202999115},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.19321680068969727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13365620374679565}],"concepts":[{"id":"https://openalex.org/C2778388243","wikidata":"https://www.wikidata.org/wiki/Q7261573","display_name":"Pursuit-evasion","level":2,"score":0.6589353084564209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6330795884132385},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.593883216381073},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5601372718811035},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.5202216506004333},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48731669783592224},{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.45565059781074524},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45442959666252136},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42269012331962585},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40078991651535034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28957629203796387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2655390202999115},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.19321680068969727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13365620374679565},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc51059.2022.9992967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc51059.2022.9992967","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1496590343","https://openalex.org/W1762430620","https://openalex.org/W1982678075","https://openalex.org/W2109910161","https://openalex.org/W2121517924","https://openalex.org/W2160484294","https://openalex.org/W2183469038","https://openalex.org/W2492629073","https://openalex.org/W2949604932","https://openalex.org/W2989068617","https://openalex.org/W3037148280","https://openalex.org/W3185568574","https://openalex.org/W4292366002","https://openalex.org/W4315489041","https://openalex.org/W6605823007","https://openalex.org/W6759871227","https://openalex.org/W6771235960"],"related_works":["https://openalex.org/W2371448224","https://openalex.org/W3134495997","https://openalex.org/W2363680170","https://openalex.org/W2376428685","https://openalex.org/W4256082577","https://openalex.org/W625783435","https://openalex.org/W2048742619","https://openalex.org/W2384641672","https://openalex.org/W2742179975","https://openalex.org/W2362647823"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,80],"present":[4],"a":[5,20,32,39,95],"hierarchical":[6,85],"framework":[7,86],"for":[8],"solving":[9],"discrete":[10],"stochastic":[11],"pursuit-evasion":[12],"games":[13,65],"(PEGs)":[14],"in":[15],"large":[16],"grid":[17,24],"worlds.":[18],"Given":[19],"partition":[21],"of":[22,38,41],"the":[23,28,45,54,63,67,83,89],"world":[25],"into":[26],"superstates,":[27],"proposed":[29,84],"approach":[30],"creates":[31],"two-resolution":[33],"decision-making":[34],"process,":[35],"which":[36],"consists":[37],"set":[40],"local":[42,64],"PEGs":[43],"at":[44,53],"original":[46],"state":[47,60],"level":[48],"and":[49,66],"an":[50],"aggregated":[51,68],"PEG":[52],"superstate":[55],"level.":[56],"With":[57],"much":[58],"smaller":[59],"spaces,":[61],"both":[62],"game":[69],"can":[70],"be":[71],"easily":[72],"solved":[73],"to":[74],"Nash":[75],"equilibria.":[76],"Through":[77],"numerical":[78],"simulations,":[79],"show":[81],"that":[82],"significantly":[87],"reduces":[88],"computation":[90],"overhead,":[91],"while":[92],"still":[93],"maintaining":[94],"satisfactory":[96],"performance.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
