{"id":"W2913120741","doi":"10.1109/cdc.2018.8618733","title":"Robustness to Incorrect Priors in Infinite Horizon Stochastic Control","year":2018,"lang":"en","type":"article","venue":"","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Robustness (evolution); Prior probability; Mathematical optimization; Convergence (economics); Optimal control; Computer science; Weak convergence; Mathematics; Artificial intelligence; Bayesian probability; Economics","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":[0.01467516,0.001226255,0.001953752,0.001067868,0.0007299634,0.00257987,0.002371189,0.002396568,0.001106757],"category_scores_gemma":[0.08147917,0.001050433,0.001322731,0.0005746859,0.005824544,0.004161704,0.004131858,0.004209467,0.0001278644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002578043,"about_ca_system_score_gemma":0.001407452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002446887,"about_ca_topic_score_gemma":0.0007378999,"domain_scores_codex":[0.9925784,0.003392485,0.0004666273,0.001260952,0.001744283,0.0005570974],"domain_scores_gemma":[0.9426831,0.04392941,0.006259864,0.003941299,0.0022728,0.0009135655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001413498,0.00003232,0.00127178,0.00008831067,0.00008339402,0.000145354,0.0001204283,0.8915606,0.001704558,0.096673,0.0002013186,0.007977569],"study_design_scores_gemma":[0.000008486254,0.00005898891,0.0003560661,0.0000154546,0.000007979736,0.00002449643,0.00001071971,0.9564171,0.0007174588,0.04226307,0.0001049997,0.00001523401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07250436,0.0003383906,0.9241018,0.0006901349,0.00003861807,0.00002894418,0.00004468118,0.000201,0.002052045],"genre_scores_gemma":[0.9821557,0.0001905849,0.01636139,0.0001216462,0.00002792661,0.00005589486,0.00007459578,0.00007045465,0.0009416688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01467516,"threshold_uncertainty_score":0.07761055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341690640399378,"score_gpt":0.3558354150911802,"score_spread":0.3124185086871864,"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."}}