{"id":"W4407014017","doi":"10.52202/078367-0015","title":"Collision Avoidance Manoeuvre Automation with Deep Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Collision avoidance; Reinforcement learning; Computer science; Automation; Artificial intelligence; Collision; Aeronautics; Engineering; Computer security; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.00007944906,0.00008595674,0.00006969355,0.00006782942,0.00006824099,0.00002602133,0.00005815869,0.0000924755,0.0001528028],"category_scores_gemma":[0.000003629561,0.00006843542,0.0000167069,0.0001672372,0.00001910998,0.000137982,0.00001375095,0.0002383575,0.0002545753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007416069,"about_ca_system_score_gemma":0.000009481447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002791043,"about_ca_topic_score_gemma":0.00001158732,"domain_scores_codex":[0.9995661,0.000005808125,0.000110166,0.0001075671,0.00007485371,0.0001354853],"domain_scores_gemma":[0.9998428,0.0000223513,0.000007555894,0.00009772049,0.000009858536,0.00001969258],"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":[0.000004372431,0.000002115373,0.0001220407,0.0000713826,0.00002895408,0.00001519472,0.0002352161,0.9578474,0.0005995907,0.01720352,0.0002891749,0.02358104],"study_design_scores_gemma":[0.00008301194,0.00004913295,0.0004726559,0.00005408858,0.000007374579,0.0000125862,0.00008235925,0.9786124,0.005654548,0.0001255471,0.01473987,0.0001064591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1317503,0.0004847185,0.8037238,0.0001929306,0.0001415788,0.000139972,1.781715e-7,0.005557747,0.05800883],"genre_scores_gemma":[0.9950734,0.00006603841,0.001831192,0.00001674812,0.00001843209,0.00001771735,0.000006621198,0.00001888362,0.002951015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8633231,"threshold_uncertainty_score":0.3272135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003555138726422113,"score_gpt":0.1883850010242155,"score_spread":0.1848298622977934,"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."}}