{"id":"W4407241794","doi":"10.1080/03155986.2025.2484050","title":"Solution methods for a class of finite-horizon vector-valued Markov decision processes","year":2025,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Class (philosophy); Markov decision process; Markov chain; Computer science; Mathematical optimization; Mathematics; Markov process; Artificial intelligence; Machine learning; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005279107,0.0001400401,0.0003126808,0.0006678167,0.0004404116,0.0003665363,0.0001727103,0.0001948836,0.00001252029],"category_scores_gemma":[0.009194054,0.000115007,0.00005509145,0.0008024365,0.00008056475,0.001374317,0.00008857568,0.0001480443,0.000005228118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298412,"about_ca_system_score_gemma":0.0006597956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001184116,"about_ca_topic_score_gemma":0.00002021484,"domain_scores_codex":[0.9976288,0.0001978374,0.001112991,0.0001505959,0.0006532158,0.0002565266],"domain_scores_gemma":[0.9921271,0.003546462,0.0002361902,0.0002238224,0.003800319,0.00006610699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005474357,0.00007175713,0.0002141806,0.006837226,0.0001015416,1.638434e-7,0.001687018,0.004006263,0.0003093022,0.9134513,0.02130576,0.05146804],"study_design_scores_gemma":[0.002764589,0.000584507,0.0003171001,0.001602742,0.0000348241,0.00001047177,0.003051742,0.7642283,0.001639443,0.01578816,0.2096364,0.0003416988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004789134,0.0004257436,0.9815791,0.000238726,0.0004509555,0.002455493,0.000138348,0.00004222065,0.009880274],"genre_scores_gemma":[0.7700865,0.0001662765,0.2251276,0.00008247756,0.0001999874,0.001509018,0.0003849452,0.00002378268,0.002419393],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8976632,"threshold_uncertainty_score":0.9991519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013136179520876,"score_gpt":0.45579812021847,"score_spread":0.3544845022663825,"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."}}