{"id":"W3169476548","doi":"","title":"PID Accelerated Value Iteration Algorithm","year":2021,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"","keywords":"PID controller; Computer science; Algorithm; Value (mathematics); Algorithm design; Control engineering; Engineering; Machine learning; Temperature control","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007493718,0.0005278051,0.0009203522,0.0004141505,0.0003909777,0.0009720437,0.0009432705,0.0008220115,0.006689675],"category_scores_gemma":[0.001761518,0.0003555725,0.0004506273,0.0004180438,0.0004338961,0.0005372095,0.000931912,0.001305702,0.00201451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296033,"about_ca_system_score_gemma":0.001248406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319095,"about_ca_topic_score_gemma":0.001101964,"domain_scores_codex":[0.9995727,0.0001100111,0.00001395351,0.0000705025,0.0001965721,0.00003629268],"domain_scores_gemma":[0.9996077,0.00009925287,0.00002093613,0.00006311063,0.0001892069,0.0000196574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003092979,0.0001271028,0.0007364445,0.0002034915,0.00007960202,0.00008799284,0.00007681235,0.4246421,0.007359886,0.05323653,0.01158321,0.5015576],"study_design_scores_gemma":[0.00002985695,0.00005675323,0.0001560948,0.00001031465,0.000008784124,0.00003512708,0.000004450906,0.9854097,0.002233499,0.004724661,0.007323641,0.000007014396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004980204,0.0002822287,0.9847217,0.0001298073,0.0003112313,0.00004418494,0.00002375339,0.0006047267,0.00890221],"genre_scores_gemma":[0.3429375,0.0006049335,0.6109968,0.000222277,0.0002488711,0.0003110511,0.0002533949,0.000305665,0.0441194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006689675,"threshold_uncertainty_score":0.02237916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217497457933906,"score_gpt":0.2711823520445458,"score_spread":0.2494326062511552,"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."}}