{"id":"W2949630205","doi":"10.48550/arxiv.1404.1404","title":"On the Existence of Optimal Policies for a Class of Static and Sequential Dynamic Teams","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Air Force Office of Scientific Research; Multidisciplinary University Research Initiative; National Science Foundation","keywords":"Counterexample; Linear-quadratic-Gaussian control; Class (philosophy); Mathematical optimization; Computer science; Gaussian; Optimal control; Stochastic control; Mathematics; Artificial intelligence; Discrete mathematics","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":[0.003051886,0.0006328597,0.001119344,0.0008379926,0.0009056454,0.001527339,0.0008902369,0.00140017,0.004549939],"category_scores_gemma":[0.01456724,0.0004392004,0.001002857,0.0006129718,0.002177693,0.002508587,0.001874796,0.001469379,0.0003153422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137485,"about_ca_system_score_gemma":0.001418178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009072,"about_ca_topic_score_gemma":0.0005753016,"domain_scores_codex":[0.9983501,0.0005468976,0.00008569867,0.0004768133,0.000262888,0.0002776041],"domain_scores_gemma":[0.9920126,0.005683784,0.001069502,0.0003037802,0.0004983656,0.0004320405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001261575,0.0001080919,0.001460816,0.0002129672,0.00007225337,0.0002159417,0.0002844296,0.1912051,0.001732731,0.7906459,0.001898762,0.0120368],"study_design_scores_gemma":[0.00007119346,0.0001218511,0.000792456,0.00008010223,0.00002562947,0.00009961442,0.0002909507,0.5392179,0.0007861275,0.456099,0.002390508,0.0000246012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1815057,0.0005554681,0.7891336,0.001579697,0.00009401573,0.0001535426,0.0003325245,0.0001009811,0.02654443],"genre_scores_gemma":[0.9217794,0.0008526743,0.07271141,0.0002285275,0.0001399476,0.000318963,0.0003037298,0.00004228536,0.003622971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004549939,"threshold_uncertainty_score":0.01614016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672781236571483,"score_gpt":0.2928390473530608,"score_spread":0.1255609236959125,"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."}}