{"id":"W2134461419","doi":"","title":"Multi-Step Dyna Planning for Policy Evaluation and Control","year":2009,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Feature (linguistics); Bellman equation; Function (biology); Mathematical optimization","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005408724,0.000110996,0.0001782592,0.0004747189,0.0004176561,0.002546797,0.0003060872,0.00004434543,0.000002757494],"category_scores_gemma":[0.002776882,0.00008247475,0.00003456814,0.0005453424,0.00003124998,0.002644527,0.00003374272,0.00005586298,0.00003076972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005972008,"about_ca_system_score_gemma":0.00008411223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002369717,"about_ca_topic_score_gemma":9.394486e-7,"domain_scores_codex":[0.9976006,0.00009385308,0.0007910217,0.0002513591,0.001049701,0.0002134608],"domain_scores_gemma":[0.9981327,0.0002167754,0.0005306445,0.0002894777,0.0007542118,0.00007621446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002475189,0.00001069089,0.0003501039,0.00004071873,0.000003116118,1.323411e-7,0.001219442,0.02220251,0.0000534978,0.0003808308,0.005195652,0.9705185],"study_design_scores_gemma":[0.001021968,0.000048312,0.004925957,0.00005029474,0.00001006098,0.000008382541,0.001245906,0.968052,0.000005713064,0.0002876724,0.02424782,0.00009590589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04002069,0.0003861686,0.9523736,0.002526433,0.001149766,0.001465912,0.00003924282,0.0001691049,0.001869114],"genre_scores_gemma":[0.9975212,3.180935e-7,0.00126251,0.0006855381,0.0001552692,0.00003053855,0.00003826309,0.000002664176,0.0003036595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9704226,"threshold_uncertainty_score":0.9984887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1780201854582342,"score_gpt":0.4527883759956488,"score_spread":0.2747681905374146,"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."}}