{"id":"https://openalex.org/W4408395210","doi":"https://doi.org/10.1145/3709025.3712217","title":"Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret","display_name":"Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret","publication_year":2025,"publication_date":"2025-03-13","ids":{"openalex":"https://openalex.org/W4408395210","doi":"https://doi.org/10.1145/3709025.3712217"},"language":"en","primary_location":{"id":"doi:10.1145/3709025.3712217","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3709025.3712217","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Computer Science and Law on ZZZ","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3709025.3712217","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089749790","display_name":"Jason D. Hartline","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jason D. Hartline","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088056585","display_name":"C.R.Chris Wang","orcid":"https://orcid.org/0000-0003-1535-4007"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Wang","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100349447","display_name":"Chenhao Zhang","orcid":"https://orcid.org/0009-0005-4789-8334"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenhao Zhang","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089749790"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0191397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9860000014305115,"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":0.9860000014305115,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.983299970626831,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9828000068664551,"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/collusion","display_name":"Collusion","score":0.8238333463668823},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8134098052978516},{"id":"https://openalex.org/keywords/pessimism","display_name":"Pessimism","score":0.7346838712692261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6283058524131775},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.1686558723449707},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.15417301654815674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09946250915527344}],"concepts":[{"id":"https://openalex.org/C2781198186","wikidata":"https://www.wikidata.org/wiki/Q701521","display_name":"Collusion","level":2,"score":0.8238333463668823},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8134098052978516},{"id":"https://openalex.org/C9992130","wikidata":"https://www.wikidata.org/wiki/Q484954","display_name":"Pessimism","level":2,"score":0.7346838712692261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6283058524131775},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.1686558723449707},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.15417301654815674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09946250915527344},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3709025.3712217","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3709025.3712217","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Computer Science and Law on ZZZ","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3709025.3712217","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3709025.3712217","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Computer Science and Law on ZZZ","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3849843238","display_name":null,"funder_award_id":"CCF-2229162,ECCS-2216970","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2072459156","https://openalex.org/W2073242866","https://openalex.org/W2306964018","https://openalex.org/W2909858546","https://openalex.org/W2921123283","https://openalex.org/W2962979247","https://openalex.org/W3119821659","https://openalex.org/W3135977602","https://openalex.org/W3190428098","https://openalex.org/W4206996456","https://openalex.org/W4226266796","https://openalex.org/W4230316285","https://openalex.org/W4234468126","https://openalex.org/W4281690286","https://openalex.org/W4285092461","https://openalex.org/W4360992083","https://openalex.org/W4383533343","https://openalex.org/W4391376456","https://openalex.org/W6732148648","https://openalex.org/W6766984318","https://openalex.org/W6851690360"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2],"regulation":[3],"of":[4],"algorithmic":[5],"(non-)collusion":[6],"amongst":[7],"sellers":[8],"in":[9],"dynamic":[10],"imperfect":[11],"price":[12],"competition":[13],"by":[14,20],"auditing":[15],"their":[16],"data":[17],"as":[18],"introduced":[19],"Hartline":[21],"et":[22],"al.":[23],"[23].":[24]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}