{"id":"W3194225869","doi":"10.1109/isaiam53259.2021.00038","title":"A Comprehensive Review of Deep Reinforcement Learning for Object Detection","year":2021,"lang":"en","type":"review","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Object detection; Object (grammar); Context (archaeology); Perception; Deep learning; Cognitive neuroscience of visual object recognition; Class (philosophy); Machine learning; Computer vision; Pattern recognition (psychology); Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001347503,0.000264948,0.001317967,0.00008502632,0.0001077866,0.00002371843,0.000603148,0.00009145972,0.00002130107],"category_scores_gemma":[0.00009870991,0.0002212871,0.0005733472,0.0008870506,0.00002106565,0.0001217893,0.0003061781,0.0002434707,0.00001598098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008754974,"about_ca_system_score_gemma":0.0001009538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001547575,"about_ca_topic_score_gemma":0.000001116029,"domain_scores_codex":[0.998201,0.0001294429,0.0007577823,0.0004981192,0.0001969375,0.000216704],"domain_scores_gemma":[0.9976299,0.0005878201,0.0006887415,0.0007091138,0.0003302843,0.00005408363],"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":[1.549251e-7,0.00000498111,3.467046e-9,0.06555757,0.00003221641,4.54518e-7,0.00000381947,0.0004297488,7.368071e-7,0.002115248,0.000101437,0.9317536],"study_design_scores_gemma":[0.00004554179,0.00005782069,2.009338e-8,0.03646648,0.0001393487,0.00002791793,0.000001742452,0.007413043,0.00001657085,0.00005700168,0.9555812,0.0001932729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[7.618527e-10,0.5062877,0.4923833,0.00001368563,0.000062907,0.0009883738,2.337181e-7,0.00005254967,0.0002112438],"genre_scores_gemma":[5.257003e-7,0.963743,0.034711,0.0001960172,0.0000564491,0.0009421899,0.00005297567,0.00002043372,0.0002774432],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9554798,"threshold_uncertainty_score":0.9023824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06095609730121904,"score_gpt":0.3555492875903354,"score_spread":0.2945931902891164,"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."}}