{"id":"W4407950140","doi":"10.1109/cdc56724.2024.10886823","title":"Quantum Markov Decision Processes","year":2024,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"","keywords":"Computer science; Markov process; Markov decision process; Mathematics; Statistics","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":[0.002032554,0.0005933329,0.0008971944,0.0005276891,0.0007386281,0.001768777,0.001152966,0.001241435,0.006028168],"category_scores_gemma":[0.005804662,0.000342917,0.0008301431,0.0007191004,0.002287942,0.002404481,0.001471401,0.002303038,0.0006154452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001987103,"about_ca_system_score_gemma":0.002158191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003536021,"about_ca_topic_score_gemma":0.003045366,"domain_scores_codex":[0.9983582,0.0006509435,0.00008695982,0.0003591322,0.000348303,0.0001964175],"domain_scores_gemma":[0.9964825,0.002494032,0.0002452598,0.0002878002,0.0003491531,0.0001412642],"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":[0.00001799749,0.00002009685,0.0001890566,0.00003630881,0.00001274746,0.00004502346,0.00004258249,0.05997797,0.0002169317,0.9326472,0.0007092038,0.00608484],"study_design_scores_gemma":[0.00002247666,0.00002053691,0.00008390113,0.00001752198,0.000008392046,0.00002442983,0.00001725095,0.4242502,0.0002780966,0.571372,0.003892747,0.00001230725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01175772,0.0005087027,0.9714347,0.001429877,0.0001378009,0.00008283991,0.0002425303,0.0001137332,0.01429203],"genre_scores_gemma":[0.6941302,0.001804119,0.2873009,0.001074617,0.0003567071,0.0004627501,0.0004954681,0.00006922249,0.01430593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006028168,"threshold_uncertainty_score":0.02016628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008669609283071051,"score_gpt":0.2500574502362754,"score_spread":0.2413878409532043,"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."}}