{"id":"https://openalex.org/W7139102131","doi":"https://doi.org/10.48550/arxiv.2603.17631","title":"Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies","display_name":"Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies","publication_year":2026,"publication_date":"2026-03-18","ids":{"openalex":"https://openalex.org/W7139102131","doi":"https://doi.org/10.48550/arxiv.2603.17631"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.17631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17631","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.17631","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129986839","display_name":"Sinan Ibrahim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ibrahim, Sinan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129925094","display_name":"Gr\u00e9goire Ouerdane","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ouerdane, Gr\u00e9goire","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129868761","display_name":"Hadi Salloum","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salloum, Hadi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089790327","display_name":"Henni Ouerdane","orcid":"https://orcid.org/0000-0002-1914-0244"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ouerdane, Henni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050202669","display_name":"Stefan Streif","orcid":"https://orcid.org/0000-0002-3398-1226"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Streif, Stefan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065280230","display_name":"Pavel Osinenko","orcid":"https://orcid.org/0000-0002-6184-3293"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Osinenko, Pavel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.6086999773979187,"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":0.6086999773979187,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.05939999967813492,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.02419999986886978,"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/benchmarking","display_name":"Benchmarking","score":0.8884000182151794},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8215000033378601},{"id":"https://openalex.org/keywords/converse","display_name":"Converse","score":0.7286999821662903},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6753000020980835},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.478300005197525},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.39809998869895935},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.39730000495910645},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.3865000009536743}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8884000182151794},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8215000033378601},{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.7286999821662903},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6753000020980835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6220999956130981},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5121999979019165},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.478300005197525},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.39809998869895935},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.39730000495910645},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.3865000009536743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3693000078201294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.359499990940094},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2639000117778778}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.17631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17631","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.17631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17631","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7356428503990173,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"objective":[1],"comparison":[2],"of":[3,15,17,84],"Reinforcement":[4],"Learning":[5],"(RL)":[6],"algorithms":[7],"is":[8],"notoriously":[9],"complex":[10],"as":[11],"outcomes":[12],"and":[13,29,36,64,73,90,108,129],"benchmarking":[14,47],"performances":[16],"different":[18],"RL":[19,131],"approaches":[20],"are":[21,75],"critically":[22],"sensitive":[23],"to":[24,53],"environmental":[25,37],"design,":[26],"reward":[27],"structures,":[28],"stochasticity":[30],"inherent":[31],"in":[32],"both":[33],"algorithmic":[34],"learning":[35],"dynamics.":[38],"To":[39],"manage":[40],"this":[41],"complexity,":[42],"we":[43],"introduce":[44],"a":[45,69,106,118,124],"rigorous":[46,130],"framework":[48,61],"by":[49,96],"extending":[50],"converse":[51],"optimality":[52],"discrete-time,":[54],"control-affine,":[55],"nonlinear":[56],"systems":[57],"with":[58],"noise.":[59],"Our":[60],"provides":[62],"necessary":[63],"sufficient":[65],"conditions,":[66],"under":[67],"which":[68],"prescribed":[70],"value":[71],"function":[72],"policy":[74],"optimal":[76],"for":[77,105,127],"constructed":[78],"systems,":[79],"enabling":[80],"the":[81],"systematic":[82],"generation":[83],"benchmark":[85],"families":[86],"via":[87],"homotopy":[88],"variations":[89],"randomized":[91],"parameters.":[92],"We":[93],"validate":[94],"it":[95],"automatically":[97],"constructing":[98],"diverse":[99],"environments,":[100],"demonstrating":[101],"our":[102,121],"framework's":[103],"capacity":[104],"controlled":[107],"comprehensive":[109],"evaluation":[110],"across":[111],"algorithms.":[112],"By":[113],"assessing":[114],"standard":[115],"methods":[116],"against":[117],"ground-truth":[119],"optimum,":[120],"work":[122],"delivers":[123],"reproducible":[125],"foundation":[126],"precise":[128],"benchmarking.":[132]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-20T00:00:00"}