{"id":"W4388448692","doi":"10.21203/rs.3.rs-3508435/v1","title":"Cooperative control for multi-player pursuit-evasion games embedded on communication technology with reinforcement learning","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Reinforcement learning; Curse of dimensionality; Computer science; Game theory; Homogeneous; Pursuer; Pursuit-evasion; Field (mathematics); Artificial intelligence; Mathematical optimization; Operations research; Computer security; Engineering; Mathematical economics; Mathematics","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":[0.001060302,0.0006963445,0.0007055525,0.0002885184,0.0004022259,0.0008194318,0.0008459867,0.0007610818,0.001697865],"category_scores_gemma":[0.002069836,0.0002900455,0.0005160598,0.0002708278,0.001107534,0.0006621876,0.001289762,0.001103049,0.0001808378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008493221,"about_ca_system_score_gemma":0.0007384116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003562631,"about_ca_topic_score_gemma":0.002523677,"domain_scores_codex":[0.9995446,0.0001668746,0.00001724509,0.00009981707,0.0001068636,0.00006455285],"domain_scores_gemma":[0.9988708,0.0006643942,0.0001849587,0.00005174028,0.0001447453,0.00008332149],"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":[0.00007661469,0.00005043189,0.0003100227,0.00005347757,0.0000341359,0.00008522585,0.00008346035,0.9596065,0.00236571,0.02336687,0.0005307643,0.01343674],"study_design_scores_gemma":[0.000006992203,0.00002631602,0.00003315802,0.000001681692,0.000002743116,0.000004488435,0.000003299187,0.9975115,0.0001257218,0.002133682,0.0001483898,0.000001955047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03885653,0.0001976515,0.955282,0.0002972967,0.00005649568,0.00004340888,0.00001527922,0.0001170006,0.005134338],"genre_scores_gemma":[0.9723069,0.0001158214,0.02400699,0.00005239742,0.00002660152,0.00009872115,0.00001390665,0.00001533658,0.003363331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003562631,"threshold_uncertainty_score":0.007083774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08866958726448522,"score_gpt":0.3775057845987464,"score_spread":0.2888361973342612,"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."}}