{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007541275,0.001158194,0.0009953992,0.002103598,0.000260698,0.0007612275,0.001063715,0.001140736,0.006185608],"category_scores_gemma":[0.001631544,0.0004307804,0.0006159396,0.00282548,0.0003434858,0.001562262,0.0006710338,0.00126577,0.003423532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006700809,"about_ca_system_score_gemma":0.001425299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856437,"about_ca_topic_score_gemma":0.002251413,"domain_scores_codex":[0.9997633,0.0000402366,0.00003263603,0.00005331795,0.00009099787,0.00001946661],"domain_scores_gemma":[0.9993526,0.0003604023,0.00005954206,0.00002499179,0.0001662278,0.00003618245],"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":[0.00003984279,0.00007220902,0.0001911745,0.01424777,0.00008072987,0.0001040976,0.00004066048,0.002100707,0.0007988463,0.009236573,0.04618964,0.9268977],"study_design_scores_gemma":[0.00001097831,0.0001148219,0.000603319,0.004532006,0.0001293561,0.0004737561,0.00003129108,0.001159474,0.0005399436,0.006591477,0.9857786,0.0000350414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001682416,0.9934658,0.002417634,0.000448275,0.0003326737,0.00001005432,0.00005503742,0.00003467693,0.003067564],"genre_scores_gemma":[0.002039638,0.9941313,0.001674054,0.0002921328,0.0003509525,0.00001576238,0.0001005862,0.000008837849,0.001386762],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006185608,"threshold_uncertainty_score":0.02069294,"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."}}