{"id":"https://openalex.org/W3046243785","doi":"https://doi.org/10.1145/3377929.3389961","title":"Evolving hypernetworks for game-playing agents","display_name":"Evolving hypernetworks for game-playing agents","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046243785","doi":"https://doi.org/10.1145/3377929.3389961","mag":"3046243785"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3389961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.itu.dk/portal/da/publications/03c46043-9784-4720-a144-78e3a6855258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042457734","display_name":"Christian Carvelli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Carvelli","raw_affiliation_strings":["modl.ai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"modl.ai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089907783","display_name":"Djordje Grbic","orcid":"https://orcid.org/0000-0002-4388-2539"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Djordje Grbic","raw_affiliation_strings":["IT University of Copenhagen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen","institution_ids":["https://openalex.org/I83467386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020511097","display_name":"Sebastian Risi","orcid":"https://orcid.org/0000-0003-3607-8400"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Sebastian Risi","raw_affiliation_strings":["IT University of Copenhagen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen","institution_ids":["https://openalex.org/I83467386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9975000023841858,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9887999892234802,"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/computer-science","display_name":"Computer science","score":0.7519739866256714},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6263442635536194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5176975727081299},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4232880771160126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519739866256714},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6263442635536194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5176975727081299},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4232880771160126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3377929.3389961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/03c46043-9784-4720-a144-78e3a6855258","is_oa":true,"landing_page_url":"https://pure.itu.dk/portal/da/publications/03c46043-9784-4720-a144-78e3a6855258","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Carvelli, C, Grbic, D & Risi, S 2020, Evolving HyperNetworks for Game-Playing Agents. in GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, pp. 71-72. https://doi.org/10.1145/3377929.3389961","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/03c46043-9784-4720-a144-78e3a6855258","is_oa":true,"landing_page_url":"https://pure.itu.dk/portal/da/publications/03c46043-9784-4720-a144-78e3a6855258","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Carvelli, C, Grbic, D & Risi, S 2020, Evolving HyperNetworks for Game-Playing Agents. in GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, pp. 71-72. https://doi.org/10.1145/3377929.3389961","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G5969032176","display_name":null,"funder_award_id":"FA8750-18-C-0103","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2954989419"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109"],"abstract_inverted_index":{"This":[0],"work":[1],"investigates":[2],"the":[3,45,49,52],"evolution":[4],"of":[5],"indirectly-encoded":[6],"neural":[7],"networks":[8,43],"through":[9],"a":[10,20,55],"hypernetwork":[11,21],"approach.":[12],"We":[13],"find":[14],"that":[15],"for":[16],"some":[17],"Atari":[18],"games,":[19],"with":[22],"over":[23],"14":[24],"times":[25],"fewer":[26],"parameters,":[27],"can":[28],"compete":[29],"or":[30],"even":[31],"outperform":[32],"directly-encoded":[33],"policy":[34],"networks.":[35],"While":[36],"hypernetworks":[37],"perform":[38],"worse":[39],"than":[40,58],"directly":[41],"encoded":[42],"in":[44,48],"game":[46,50],"Frostbite,":[47],"Gravitar,":[51],"approach":[53],"reaches":[54],"higher":[56],"score":[57],"any":[59],"other":[60],"evolutionary":[61],"method":[62],"and":[63],"outperforms":[64],"complicated":[65],"deep":[66],"reinforcement":[67],"learning":[68],"setups":[69],"such":[70],"as":[71],"Rainbow.":[72]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
