{"id":"W3153187775","doi":"10.3390/electronics10090999","title":"Drone Deep Reinforcement Learning: A Review","year":2021,"lang":"en","type":"review","venue":"Electronics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":300,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Patrolling; Drone; Software deployment; Reinforcement learning; Computer science; Target acquisition; Artificial intelligence; Situation awareness; Deep learning; Systems engineering; Computer security; Human–computer interaction; Engineering; Software engineering; Geography; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001290523,0.0002701281,0.0008600138,0.00005627349,0.00005373456,0.00002890716,0.0001676677,0.000157889,0.0003287442],"category_scores_gemma":[0.00002227361,0.0002635452,0.0002378554,0.000496726,0.000006699117,0.00003537536,0.00003077319,0.0005554597,0.0001791689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597288,"about_ca_system_score_gemma":0.0001527097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.851072e-7,"about_ca_topic_score_gemma":0.00000276557,"domain_scores_codex":[0.9988878,0.00003693865,0.0004328345,0.0002033714,0.0001310937,0.0003079731],"domain_scores_gemma":[0.9994204,0.00002689631,0.00009659294,0.0003625154,0.00004340277,0.00005016214],"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":[4.151016e-8,0.000004939669,8.819424e-9,0.02048419,0.0000906955,9.586478e-7,0.0000035785,0.01583362,5.823478e-8,0.000942896,0.003156776,0.9594823],"study_design_scores_gemma":[0.00002783888,0.00001570209,3.501865e-9,0.01097422,0.0004473046,0.00001587367,5.744196e-7,0.006562838,5.773005e-7,0.000004008822,0.9817033,0.0002477406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.065625e-9,0.9626873,0.03275692,0.00001027892,0.00005325959,0.0005315054,5.598651e-7,0.0002053552,0.003754853],"genre_scores_gemma":[1.073391e-7,0.9963368,0.0004637777,0.00003015548,0.00007242491,0.000371809,0.0008812094,0.00008494668,0.001758812],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9785466,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358995138239351,"score_gpt":0.2684637454940748,"score_spread":0.2548737941116813,"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."}}