{"id":"W4396515242","doi":"10.22215/etd/2024-15896","title":"A Machine Learning Approach for Aerial Drones Playing the Pursuit-Evasion Game","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Drone; Reinforcement learning; Popularity; Computer science; Artificial intelligence; Pursuit-evasion; Machine learning; Fuzzy logic; Range (aeronautics); Engineering; Aerospace engineering; 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":[0.0005115726,0.0004938184,0.0005885563,0.0003183863,0.0004177882,0.0006207204,0.0008217076,0.0008551495,0.00245425],"category_scores_gemma":[0.001539104,0.0002472213,0.0004737222,0.0002229212,0.0006729388,0.0005698728,0.000567828,0.001055018,0.0002283263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184418,"about_ca_system_score_gemma":0.000960621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007705733,"about_ca_topic_score_gemma":0.005141516,"domain_scores_codex":[0.9998129,0.00005940553,0.00000761501,0.0000487129,0.00004886724,0.00002255709],"domain_scores_gemma":[0.9995254,0.0003091424,0.00004088834,0.00001424131,0.00008678486,0.00002353158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000229032,0.00004326893,0.0004528557,0.00004489857,0.00002071398,0.0000526345,0.00006370465,0.9360389,0.0008811117,0.03285612,0.0005011807,0.02902174],"study_design_scores_gemma":[0.000002244153,0.000008003016,0.00002895341,0.00000209691,0.000001333337,0.000003765083,0.000002969498,0.9970565,0.00005756684,0.002695051,0.0001402769,0.000001335445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0264583,0.0003844867,0.9646883,0.0005183022,0.00004874648,0.00005556002,0.00001979184,0.0001103995,0.007716206],"genre_scores_gemma":[0.8467754,0.000415917,0.1420635,0.0001283446,0.00006602539,0.0002364216,0.00003992999,0.00002656745,0.01024796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007705733,"threshold_uncertainty_score":0.01532173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485344072777114,"score_gpt":0.2744335396824072,"score_spread":0.2495800989546361,"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."}}