{"id":"W3162224263","doi":"10.1109/icc42927.2021.9500913","title":"An Automated VNF Manager based on Parameterized Action MDP and Reinforcement Learning","year":2021,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Reinforcement learning; Markov decision process; Parameterized complexity; Distributed computing; Process (computing); Resource management (computing); Resource (disambiguation); Markov process; Artificial intelligence; Computer network; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0001532857,0.0001012479,0.0001095107,0.00005846096,0.0001268068,0.0002593668,0.0001348543,0.00004928887,0.00009845833],"category_scores_gemma":[0.00003047104,0.00008853774,0.0000290289,0.0002605955,0.00001172554,0.00025708,0.00006486417,0.0001037704,0.00002197267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000216256,"about_ca_system_score_gemma":0.0000253362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002152778,"about_ca_topic_score_gemma":0.000004233209,"domain_scores_codex":[0.9991055,0.00008675345,0.0001296519,0.0003211356,0.0001724885,0.0001845112],"domain_scores_gemma":[0.9993849,0.000105133,0.00004486798,0.000346217,0.00003848745,0.00008038399],"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":[0.00009161932,0.0001916852,0.003063431,0.00005196626,0.00005362559,0.000180078,0.0003107015,0.7124734,0.005571951,0.01203086,0.003457112,0.2625236],"study_design_scores_gemma":[0.000440466,0.0001723533,0.00445991,0.00001701451,0.000004234473,0.000004963831,0.00001855148,0.9907284,0.001589281,0.00007972729,0.002362615,0.000122469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07074309,0.00001686169,0.9245526,0.0004786124,0.0002207987,0.00008875396,1.139854e-7,0.001438596,0.002460524],"genre_scores_gemma":[0.9560151,0.00001544257,0.04176145,0.001373352,0.00002585277,0.000009632705,0.00001280707,0.000007669707,0.0007786615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.885272,"threshold_uncertainty_score":0.3610464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215610842646707,"score_gpt":0.282114930710629,"score_spread":0.259958822284162,"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."}}