{"id":"W970057132","doi":"10.1017/cbo9780511807336.014","title":"Advanced Material: Part II. Stochastic Optimal Control and the HJB Equation","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Hamilton–Jacobi–Bellman equation; Mathematics; Stochastic control; Control (management); Applied mathematics; Computer science; Mathematical economics; Optimal control; Mathematical optimization; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001339701,0.000366186,0.0004884034,0.00008628392,0.0002132133,0.00003970684,0.00020769,0.0002577535,0.000004150513],"category_scores_gemma":[0.00001405522,0.0003550674,0.00009502593,0.000005982227,0.0001885282,0.0001988737,0.0001108479,0.0002542083,0.000005828434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680971,"about_ca_system_score_gemma":0.00001767581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001283382,"about_ca_topic_score_gemma":7.034091e-7,"domain_scores_codex":[0.9989906,0.0000419416,0.0002394278,0.0002622155,0.0001804492,0.0002853792],"domain_scores_gemma":[0.9991349,0.0001123886,0.000180343,0.000365695,0.00009613308,0.0001105299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005815259,0.000003547534,1.265246e-7,0.0001162005,0.0003126188,0.00001213653,0.0001228793,0.149981,0.0002108788,0.8444045,0.001014939,0.0032396],"study_design_scores_gemma":[0.01153934,0.00008620838,0.000005636281,0.0004426567,0.001295552,0.00003813215,0.00006305832,0.2500837,0.000144366,0.00003710858,0.7349203,0.001343977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002158827,0.001449727,0.3255379,0.0000200781,0.001144173,0.001994702,0.0004974338,0.0005885528,0.6685515],"genre_scores_gemma":[0.1447402,0.000220893,0.0004709761,0.00003565501,0.0005519689,0.0000189354,0.0001372383,0.0001676613,0.8536565],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8443674,"threshold_uncertainty_score":0.9998901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009550308660283205,"score_gpt":0.1655466209554323,"score_spread":0.1559963122951491,"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."}}