{"id":"W2254712968","doi":"10.1109/cdc.2016.7799063","title":"Finite Model Approximations and Asymptotic Optimality of Quantized Policies in Decentralized Stochastic Control","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Counterexample; Approximations of π; Quantization (signal processing); Asymptotically optimal algorithm; Mathematics; Optimal control; Mathematical optimization; Gaussian; Stochastic control; Applied mathematics; Class (philosophy); Computer science; Discrete mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00262087,0.0006154504,0.001318028,0.0004671548,0.0005135731,0.001550061,0.001126274,0.001031857,0.001000158],"category_scores_gemma":[0.01509701,0.0005204332,0.0005613666,0.0004550727,0.003007714,0.002652447,0.001224868,0.001906934,0.0001099331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402199,"about_ca_system_score_gemma":0.001229528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006374591,"about_ca_topic_score_gemma":0.002796325,"domain_scores_codex":[0.9984304,0.0007684954,0.0000604571,0.0001958536,0.0003945288,0.0001501223],"domain_scores_gemma":[0.994447,0.00421295,0.0004778965,0.0004509588,0.0002836862,0.0001275072],"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":[0.00003106294,0.00001556702,0.0001927831,0.00003056873,0.00001710246,0.00003026819,0.00005484867,0.8596072,0.0003464426,0.1378067,0.0001724193,0.001695087],"study_design_scores_gemma":[0.000005833084,0.00001143765,0.0000363417,0.000005329206,0.00000189851,0.000004431148,0.000008513027,0.9590173,0.00008860759,0.0407315,0.00008450738,0.000004248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1051,0.000563447,0.8884609,0.0007054099,0.00005882299,0.00002726309,0.00008409868,0.0001869886,0.004813084],"genre_scores_gemma":[0.9796115,0.0002642878,0.01885608,0.0000826703,0.00003095797,0.0000500273,0.00006643418,0.00002829563,0.001009834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006374591,"threshold_uncertainty_score":0.01742929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300805658761369,"score_gpt":0.4042010146036928,"score_spread":0.2741204487275558,"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."}}