{"id":"https://openalex.org/W1979239334","doi":"https://doi.org/10.1109/acc.2010.5530771","title":"An investigation of guarding a territory problem in a grid world","display_name":"An investigation of guarding a territory problem in a grid world","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W1979239334","doi":"https://doi.org/10.1109/acc.2010.5530771","mag":"1979239334"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2010.5530771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2010.5530771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 American Control Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000784485","display_name":"Xiaosong Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaosong Lu","raw_affiliation_strings":["Department of Systems and Computer Engineering, Carleton University, Ottawa, ONT, Canada","Department of Systems & Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Department of Systems & Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018347314","display_name":"Howard M. Schwartz","orcid":"https://orcid.org/0000-0002-4489-5892"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Howard M Schwartz","raw_affiliation_strings":["Department of Systems and Computer Engineering, Carleton University, Ottawa, ONT, Canada","Department of Systems & Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Department of Systems & Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.5449,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.61395871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3204","last_page":"3210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9987000226974487,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9940000176429749,"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/T12158","display_name":"Guidance and Control Systems","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8602849245071411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7074192762374878},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.6943583488464355},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6612879037857056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5106382966041565},{"id":"https://openalex.org/keywords/climbing","display_name":"Climbing","score":0.4250662922859192},{"id":"https://openalex.org/keywords/hill-climbing","display_name":"Hill climbing","score":0.4140457510948181},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37782490253448486},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3578674793243408},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13417208194732666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1331166923046112}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8602849245071411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074192762374878},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.6943583488464355},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6612879037857056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5106382966041565},{"id":"https://openalex.org/C95038775","wikidata":"https://www.wikidata.org/wiki/Q22857","display_name":"Climbing","level":2,"score":0.4250662922859192},{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.4140457510948181},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37782490253448486},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3578674793243408},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13417208194732666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1331166923046112},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2010.5530771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2010.5530771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1542941925","https://openalex.org/W1578630563","https://openalex.org/W1581842928","https://openalex.org/W1626977535","https://openalex.org/W2033605227","https://openalex.org/W2077610764","https://openalex.org/W2099618002","https://openalex.org/W2109652022","https://openalex.org/W2120327309","https://openalex.org/W2120846115","https://openalex.org/W2121863487","https://openalex.org/W2147492008"],"related_works":["https://openalex.org/W643038845","https://openalex.org/W2143761673","https://openalex.org/W2392978157","https://openalex.org/W2364780071","https://openalex.org/W2521924929","https://openalex.org/W4317738234","https://openalex.org/W2060963430","https://openalex.org/W3156781616","https://openalex.org/W2020542318","https://openalex.org/W4285346812"],"abstract_inverted_index":{"A":[0,15],"game":[1],"of":[2,57],"guarding":[3],"a":[4,7],"territory":[5],"in":[6,12],"grid":[8],"world":[9],"is":[10],"proposed":[11],"this":[13],"paper.":[14],"defender":[16],"tries":[17],"to":[18,33],"intercept":[19],"an":[20],"invader":[21],"before":[22],"he":[23],"reaches":[24],"the":[25],"territory.":[26],"Two":[27],"reinforcement":[28,59],"learning":[29,43,49,60],"algorithms":[30,61],"are":[31,51,62],"applied":[32],"make":[34],"two":[35,58],"players":[36],"learn":[37],"their":[38],"optimal":[39],"policies":[40],"simultaneously.":[41],"Minimax-Q":[42],"algorithm":[44,50],"and":[45,53],"Win-or-Learn-Fast":[46],"Policy":[47],"Hill-Climbing":[48],"introduced":[52],"compared.":[54],"Simulation":[55],"results":[56],"analyzed.":[63]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
