{"id":"W4413394129","doi":"10.23919/acc63710.2025.11107955","title":"Optimism Induction Attack on Deep Reinforcement Learning with Control Barrier Function Safety Filter for Autonomous Driving","year":2025,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinforcement learning; Computer science; Optimism; Function (biology); Control (management); Artificial intelligence; Psychology; Psychotherapist; Cell biology","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":[0.0001846612,0.0002019348,0.0002107461,0.0001612426,0.0002701453,0.00002321384,0.00009397346,0.0002343172,0.0001993965],"category_scores_gemma":[0.00002650916,0.0001772125,0.00006328674,0.0001361608,0.00004040601,0.0001456041,0.00001794679,0.0003815953,0.00002771231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000232228,"about_ca_system_score_gemma":0.00002973616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003576634,"about_ca_topic_score_gemma":0.0000188193,"domain_scores_codex":[0.9990823,0.00001663605,0.0002737919,0.0002413652,0.00007808166,0.0003077703],"domain_scores_gemma":[0.9995574,0.00009236996,0.00004228509,0.0002196527,0.00004679728,0.00004150147],"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":[0.0002067387,0.000009651625,0.0004725716,0.0000267116,0.0001702696,7.494456e-7,0.00005184632,0.9663928,0.0005609485,0.006091129,0.0003417183,0.02567494],"study_design_scores_gemma":[0.001955375,0.0004103021,0.003214389,0.00005289624,0.00008268562,0.00000342388,0.0001467526,0.9555929,0.003301735,0.0001460113,0.03481245,0.0002811122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02490535,0.0000311902,0.9467216,0.0003338976,0.000325568,0.0005275766,9.026501e-7,0.001192612,0.02596127],"genre_scores_gemma":[0.9926696,0.00001124507,0.001663726,0.0002657975,0.00005035672,0.0001428236,0.00001977157,0.00002915708,0.005147452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9677643,"threshold_uncertainty_score":0.7226515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007634622487419396,"score_gpt":0.2130668107790088,"score_spread":0.2054321882915894,"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."}}