{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005331415,0.0009050842,0.000911842,0.001179767,0.0001670848,0.000855654,0.001136346,0.0009390242,0.004796212],"category_scores_gemma":[0.001149792,0.0003955256,0.0005198469,0.001743194,0.0002856909,0.001197907,0.0006440743,0.001060238,0.001963386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267754,"about_ca_system_score_gemma":0.000894279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207691,"about_ca_topic_score_gemma":0.001569867,"domain_scores_codex":[0.9998467,0.0000235961,0.00002101212,0.00004213622,0.00005141892,0.00001523631],"domain_scores_gemma":[0.9995999,0.0002224835,0.00003878155,0.00001684474,0.00009802479,0.0000240511],"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":[0.00004591011,0.00008574905,0.0002897439,0.007402995,0.00009824766,0.00006084515,0.00003431017,0.006672309,0.0005399712,0.005303369,0.0198421,0.9596245],"study_design_scores_gemma":[0.00002568339,0.0002835674,0.001243207,0.00470775,0.0002688193,0.0007652977,0.0000738795,0.01155921,0.001698111,0.007348568,0.9719636,0.00006219552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007121198,0.9879667,0.006258479,0.0003766498,0.0003296002,0.00001454207,0.00006170367,0.00006512311,0.004215133],"genre_scores_gemma":[0.008662691,0.9837019,0.003976095,0.0002640261,0.0003407237,0.00002601246,0.0001648693,0.00002208129,0.002841536],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004796212,"threshold_uncertainty_score":0.01604491,"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."}}