{"id":"https://openalex.org/W2902129113","doi":"https://doi.org/10.1007/978-3-030-05204-1_34","title":"Learning to Win Games in a Few Examples: Using Game-Theory and Demonstrations to Learn the Win Conditions of a Connect Four Game","display_name":"Learning to Win Games in a Few Examples: Using Game-Theory and Demonstrations to Learn the Win Conditions of a Connect Four Game","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2902129113","doi":"https://doi.org/10.1007/978-3-030-05204-1_34","mag":"2902129113"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-05204-1_34","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-05204-1_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5112638284","display_name":"Ali Ayub","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Ayub","raw_affiliation_strings":["The Pennsylvania State University, State College, PA, 16802, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, State College, PA, 16802, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045198429","display_name":"Alan R. Wagner","orcid":"https://orcid.org/0000-0002-7941-3814"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan R. Wagner","raw_affiliation_strings":["The Pennsylvania State University, State College, PA, 16802, USA","The Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, State College, PA, 16802, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.4527,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.680289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"349","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"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":0.9997000098228455,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11574","display_name":"Artificial Intelligence in Games","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/win-win-game","display_name":"Win-win game","score":0.5717911124229431},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.5239277482032776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49586376547813416},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.44202202558517456},{"id":"https://openalex.org/keywords/game-mechanics","display_name":"Game mechanics","score":0.4352007508277893},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.36438828706741333},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.33077406883239746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2679506838321686},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.15965783596038818},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.1347934603691101}],"concepts":[{"id":"https://openalex.org/C119546897","wikidata":"https://www.wikidata.org/wiki/Q1432170","display_name":"Win-win game","level":2,"score":0.5717911124229431},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.5239277482032776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49586376547813416},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.44202202558517456},{"id":"https://openalex.org/C170828538","wikidata":"https://www.wikidata.org/wiki/Q1751513","display_name":"Game mechanics","level":2,"score":0.4352007508277893},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.36438828706741333},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.33077406883239746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2679506838321686},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.15965783596038818},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.1347934603691101}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-05204-1_34","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-05204-1_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W116765191","https://openalex.org/W1741471588","https://openalex.org/W2012204020","https://openalex.org/W2109100253","https://openalex.org/W2158582431","https://openalex.org/W2161395589","https://openalex.org/W2163525639","https://openalex.org/W2193104803","https://openalex.org/W2257979135","https://openalex.org/W2510455077","https://openalex.org/W2529415061","https://openalex.org/W2571515229","https://openalex.org/W2736923367","https://openalex.org/W2769555377","https://openalex.org/W2772709170","https://openalex.org/W2793667181","https://openalex.org/W2963703448"],"related_works":["https://openalex.org/W3149500030","https://openalex.org/W4210900129","https://openalex.org/W4251525635","https://openalex.org/W4210938604","https://openalex.org/W4240140868","https://openalex.org/W4233054806","https://openalex.org/W4210873156","https://openalex.org/W3126008551","https://openalex.org/W3139383627","https://openalex.org/W2490370263"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
