{"id":"https://openalex.org/W7151444281","doi":"https://doi.org/10.48550/arxiv.2604.04914","title":"Analyzing Symbolic Properties for DRL Agents in Systems and Networking","display_name":"Analyzing Symbolic Properties for DRL Agents in Systems and Networking","publication_year":2026,"publication_date":"2026-04-06","ids":{"openalex":"https://openalex.org/W7151444281","doi":"https://doi.org/10.48550/arxiv.2604.04914"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.04914","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04914","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":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.2604.04914","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084843411","display_name":"Mohammad Zangooei","orcid":"https://orcid.org/0000-0002-6657-0677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zangooei, Mohammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016788706","display_name":"Jannis Weil","orcid":"https://orcid.org/0000-0001-5439-9131"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weil, Jannis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050441394","display_name":"Amr Rizk","orcid":"https://orcid.org/0000-0002-9385-7729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rizk, Amr","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133139402","display_name":"Mina Tahmasbi Arashloo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arashloo, Mina Tahmasbi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133065973","display_name":"Raouf Boutaba","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boutaba, Raouf","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/T10714","display_name":"Software-Defined Networks and 5G","score":0.26159998774528503,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.26159998774528503,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.19050000607967377,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.13580000400543213,"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/robustness","display_name":"Robustness (evolution)","score":0.6308000087738037},{"id":"https://openalex.org/keywords/symbolic-execution","display_name":"Symbolic execution","score":0.5827000141143799},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5468999743461609},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.42980000376701355},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4163999855518341},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41589999198913574},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.4122999906539917},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3930000066757202},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.35899999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904000282287598},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6308000087738037},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.5827000141143799},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5468999743461609},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43630000948905945},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41589999198913574},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35749998688697815},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.3231000006198883},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3091999888420105},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.30160000920295715},{"id":"https://openalex.org/C3019612716","wikidata":"https://www.wikidata.org/wiki/Q730920","display_name":"Problem solver","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C3017813396","wikidata":"https://www.wikidata.org/wiki/Q17078173","display_name":"Resource constraints","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C164155591","wikidata":"https://www.wikidata.org/wiki/Q2067766","display_name":"Satisfiability modulo theories","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2542000114917755},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.04914","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04914","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.04914","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04914","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"reinforcement":[1],"learning":[2],"(DRL)":[3],"has":[4],"shown":[5],"remarkable":[6],"performance":[7],"on":[8,57,215],"complex":[9],"control":[10,179],"problems":[11],"in":[12,47,52,100],"systems":[13,101],"and":[14,23,69,102,114,119,145,187,217,235,248],"networking,":[15],"including":[16],"adaptive":[17,181],"video":[18,182],"streaming,":[19,183],"wireless":[20,184],"resource":[21,185],"management,":[22,186],"congestion":[24,188],"control.":[25,189],"For":[26],"safe":[27],"deployment,":[28],"however,":[29],"it":[30],"is":[31],"critical":[32],"to":[33,74,163],"reason":[34],"about":[35],"how":[36,121,203],"agents":[37,99],"behave":[38],"across":[39,176],"the":[40,142,210],"range":[41],"of":[42,94,141,212],"system":[43],"states":[44],"they":[45,122],"encounter":[46],"practice.":[48],"Existing":[49],"verification-based":[50],"methods":[51],"this":[53,82],"domain":[54],"primarily":[55],"focus":[56],"point":[58,233],"properties,":[59,87,111],"defined":[60],"around":[61],"fixed":[62],"input":[63,95,200],"states,":[64,96],"which":[65],"offer":[66],"limited":[67],"coverage":[68,231],"require":[70],"substantial":[71],"manual":[72],"effort":[73],"identify":[75],"relevant":[76],"input-output":[77],"pairs":[78],"for":[79,97,109,158],"analysis.":[80,165],"In":[81],"paper,":[83],"we":[84,170,194],"study":[85,175,209],"symbolic":[86,110,134,164,196,226],"that":[88,225],"specify":[89],"expected":[90],"behavior":[91],"over":[92,198],"ranges":[93],"DRL":[98],"networking.":[103],"We":[104],"present":[105],"a":[106],"generic":[107],"formulation":[108],"with":[112],"monotonicity":[113],"robustness":[115],"as":[116,136,155],"concrete":[117],"examples,":[118],"show":[120,224],"can":[123,236],"be":[124],"analyzed":[125],"using":[126],"existing":[127,160],"DNN":[128],"verification":[129,161,220],"engines.":[130],"Our":[131,222],"approach":[132],"encodes":[133],"properties":[135,197,227,234],"comparisons":[137],"between":[138],"related":[139],"executions":[140],"same":[143],"policy":[144],"decomposes":[146],"them":[147],"into":[148],"practically":[149],"tractable":[150],"sub-properties.":[151],"These":[152],"techniques":[153],"serve":[154],"practical":[156,245],"enablers":[157],"applying":[159],"tools":[162],"Using":[166],"our":[167],"framework,":[168],"diffRL,":[169],"conduct":[171],"an":[172],"extensive":[173],"empirical":[174],"three":[177],"DRL-based":[178],"systems,":[180],"Through":[190],"these":[191],"case":[192],"studies,":[193],"analyze":[195],"broad":[199],"ranges,":[201],"examine":[202],"property":[204],"satisfaction":[205],"evolves":[206],"during":[207],"training,":[208],"impact":[211],"model":[213],"size":[214],"verifiability,":[216],"compare":[218],"multiple":[219],"backends.":[221],"results":[223],"provide":[228],"substantially":[229],"broader":[230],"than":[232],"uncover":[237],"non-obvious,":[238],"operationally":[239],"meaningful":[240],"counterexamples,":[241],"while":[242],"also":[243],"revealing":[244],"solver":[246],"trade-offs":[247],"limitations.":[249]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-08T00:00:00"}