{"id":"W4408954824","doi":"10.1007/s00521-025-11100-0","title":"Advances and applications in inverse reinforcement learning: a comprehensive review","year":2025,"lang":"en","type":"review","venue":"Neural Computing and Applications","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"RUDN University; Monash University","keywords":"Computational Science and Engineering; Computer science; Reinforcement learning; Reinforcement; Inverse; Artificial intelligence; Machine learning; Applied mathematics; Mathematics; Geometry; Engineering; Structural engineering","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":[0.001132225,0.001017672,0.001533684,0.003005006,0.0002715377,0.001159231,0.001033016,0.001131268,0.004187717],"category_scores_gemma":[0.002489533,0.0004732348,0.0009249966,0.003452483,0.0004757223,0.001585576,0.0007546124,0.001452944,0.001859998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007211757,"about_ca_system_score_gemma":0.001760854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796446,"about_ca_topic_score_gemma":0.002257281,"domain_scores_codex":[0.9997103,0.0000549953,0.00004770421,0.00006360976,0.0001009455,0.0000225002],"domain_scores_gemma":[0.9986196,0.000937015,0.0001231539,0.00003284992,0.0002395726,0.00004782845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005642695,0.00008597651,0.0002323596,0.04077675,0.0001657067,0.0001155485,0.00007571441,0.002299922,0.0007633528,0.01014889,0.02401638,0.921263],"study_design_scores_gemma":[0.00002113715,0.0001775375,0.0009413637,0.01602788,0.0003243852,0.0005970213,0.00007466946,0.0008872395,0.0005829398,0.0068279,0.9734836,0.00005431547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001176736,0.9978708,0.0006049763,0.0002369734,0.0001217858,0.000007030621,0.00002543504,0.00001198465,0.001003266],"genre_scores_gemma":[0.001071463,0.997849,0.0005000834,0.000145107,0.0001162408,0.00001109422,0.00003348319,0.000003495402,0.0002700867],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004187717,"threshold_uncertainty_score":0.01400924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03519127845833417,"score_gpt":0.3449301907153309,"score_spread":0.3097389122569968,"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."}}