{"id":"https://openalex.org/W4404307041","doi":"https://doi.org/10.48550/arxiv.2410.18636","title":"Multi-agent cooperation through learning-aware policy gradients","display_name":"Multi-agent cooperation through learning-aware policy gradients","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4404307041","doi":"https://doi.org/10.48550/arxiv.2410.18636"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2410.18636","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.18636","pdf_url":"https://arxiv.org/pdf/2410.18636","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.18636","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048262902","display_name":"Alexander Meulemans","orcid":"https://orcid.org/0000-0002-4858-5031"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Meulemans, Alexander","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101188118","display_name":"Seijin Kobayashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kobayashi, Seijin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103956420","display_name":"Johannes von Oswald","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"von Oswald, Johannes","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023054628","display_name":"Nino Scherrer","orcid":"https://orcid.org/0000-0001-5976-4257"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Scherrer, Nino","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027171832","display_name":"Eric Elmoznino","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elmoznino, Eric","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105921506","display_name":"Blake Richards","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richards, Blake","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043037494","display_name":"Guillaume Lajoie","orcid":"https://orcid.org/0000-0003-2730-7291"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lajoie, Guillaume","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044698998","display_name":"Blaise Ag\u00fcera y Arcas","orcid":"https://orcid.org/0000-0003-2256-9823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arcas, Blaise Ag\u00fcera y","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030804320","display_name":"Jo\u00e3o Sacramento","orcid":"https://orcid.org/0000-0002-2837-9695"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sacramento, Jo\u00e3o","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5048262902"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11810","display_name":"Complex Systems and Decision Making","score":0.6496999859809875,"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"}},"topics":[{"id":"https://openalex.org/T11810","display_name":"Complex Systems and Decision Making","score":0.6496999859809875,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.5950999855995178,"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/T11031","display_name":"Game Theory and Applications","score":0.578000009059906,"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/policy-learning","display_name":"Policy learning","score":0.6247237920761108},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.41239774227142334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35900062322616577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1099511981010437}],"concepts":[{"id":"https://openalex.org/C2779436431","wikidata":"https://www.wikidata.org/wiki/Q30672407","display_name":"Policy learning","level":2,"score":0.6247237920761108},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.41239774227142334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35900062322616577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1099511981010437}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2410.18636","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.18636","pdf_url":"https://arxiv.org/pdf/2410.18636","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2410.18636","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2410.18636","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2410.18636","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.18636","pdf_url":"https://arxiv.org/pdf/2410.18636","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Self-interested":[0],"individuals":[1],"often":[2],"fail":[3],"to":[4,86,110],"cooperate,":[5],"posing":[6],"a":[7,121,138],"fundamental":[8],"challenge":[9],"for":[10,57,141],"multi-agent":[11],"learning.":[12],"How":[13],"can":[14,33],"we":[15,48,131],"achieve":[16],"cooperation":[17,32,145],"among":[18,147],"self-interested,":[19],"independent":[20],"learning":[21,42,70,98],"agents?":[22],"Promising":[23],"recent":[24],"work":[25],"has":[26],"shown":[27],"that":[28,65,93],"in":[29],"certain":[30],"tasks":[31],"be":[34],"established":[35],"between":[36],"learning-aware":[37,58,149],"agents":[38,67],"who":[39],"model":[40],"the":[41,50,97,134],"dynamics":[43,99],"of":[44,96,100],"each":[45],"other.":[46],"Here,":[47],"present":[49],"first":[51],"unbiased,":[52],"higher-derivative-free":[53],"policy":[54],"gradient":[55],"algorithm":[56,108],"reinforcement":[59],"learning,":[60],"which":[61],"takes":[62],"into":[63],"account":[64],"other":[66,101],"are":[68],"themselves":[69],"through":[71],"trial":[72],"and":[73,113,143],"error":[74],"based":[75],"on":[76,89,116],"multiple":[77],"noisy":[78],"trials.":[79],"We":[80],"then":[81],"leverage":[82],"efficient":[83],"sequence":[84],"models":[85],"condition":[87],"behavior":[88,112],"long":[90],"observation":[91],"histories":[92],"contain":[94],"traces":[95],"agents.":[102,150],"Training":[103],"long-context":[104],"policies":[105],"with":[106],"our":[107],"leads":[109],"cooperative":[111],"high":[114],"returns":[115],"standard":[117],"social":[118],"dilemmas,":[119],"including":[120],"challenging":[122],"environment":[123],"where":[124],"temporally-extended":[125],"action":[126],"coordination":[127],"is":[128],"required.":[129],"Finally,":[130],"derive":[132],"from":[133],"iterated":[135],"prisoner's":[136],"dilemma":[137],"novel":[139],"explanation":[140],"how":[142],"when":[144],"arises":[146],"self-interested":[148]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}