{"id":"W4387869921","doi":"10.1109/icc45041.2023.10279145","title":"Reservation of Virtualized Resources with Optimistic Online Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"National Natural Science Foundation of China; Science Foundation Ireland; European Commission; Santa Fe Institute","keywords":"Reservation; Computer science; Regret; Service (business); Lease; Key (lock); Network virtualization; Virtualization; Computer network; Operations research; Machine learning; Computer security; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002271953,0.00008666511,0.0002316813,0.0005224979,0.0001290849,0.00007442706,0.0005369777,0.00004215886,0.0007280132],"category_scores_gemma":[0.009178261,0.00005245136,0.00003973653,0.003128157,0.0001640129,0.0002537071,0.0001936953,0.0001845921,0.0002594689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001897638,"about_ca_system_score_gemma":0.00004318249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005194678,"about_ca_topic_score_gemma":0.00006405837,"domain_scores_codex":[0.9966111,0.0002173888,0.0004406161,0.0003459418,0.002135118,0.0002498364],"domain_scores_gemma":[0.995966,0.002777898,0.0001704345,0.0003971545,0.0006105995,0.00007793362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001022248,0.0001900354,0.02290658,0.00003061815,0.00006462249,0.00009311541,0.003183949,0.839027,0.006685073,0.001100356,0.01033594,0.1153605],"study_design_scores_gemma":[0.002085306,0.001020018,0.08845677,0.00007083434,0.00001033745,0.000008333006,0.01591762,0.8080235,0.003903685,0.01322976,0.06692902,0.0003448011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757817,0.00002374105,0.1188907,0.0009544729,0.00004704126,0.0001890291,0.0000127845,0.0001963056,0.003904248],"genre_scores_gemma":[0.8720261,0.00003157799,0.02117356,0.00003511724,0.00007608363,0.00001197296,0.00003481439,0.0000241157,0.1065867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1150157,"threshold_uncertainty_score":0.9991679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2099910303294296,"score_gpt":0.4727449675016023,"score_spread":0.2627539371721727,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}