{"id":"W4406499781","doi":"10.1109/cascon62161.2024.10838116","title":"Worst-Case Execution Time Analysis of Real-Time Robotic Algorithms Using Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Algorithm; Real-time computing","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":[0.001160674,0.0002215117,0.0004991542,0.0009840612,0.0001446282,0.0003912833,0.0003988048,0.00009724193,0.0002314365],"category_scores_gemma":[0.00004600901,0.0002001881,0.000296015,0.003254257,0.00003659104,0.0008873251,0.0002670655,0.0001691701,0.0003312717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156605,"about_ca_system_score_gemma":0.0001139382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015687,"about_ca_topic_score_gemma":0.000005458021,"domain_scores_codex":[0.9976318,0.0001557903,0.0007151132,0.0005986465,0.0005185254,0.0003801027],"domain_scores_gemma":[0.9987085,0.0002040555,0.0001958132,0.0006334414,0.0001378178,0.0001204099],"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":[0.000002074361,0.00001437847,0.00003180029,0.00004927835,0.0006571343,0.0003737278,0.000765349,0.9638212,0.02736852,0.003466584,0.00004174368,0.003408175],"study_design_scores_gemma":[0.00007956711,0.00005717645,0.00002580188,0.0001198327,0.0004107828,0.0002478512,0.00007138668,0.9971032,0.001582403,0.00005543384,0.00003052273,0.0002160669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03704479,0.0001019187,0.9553801,0.00004717658,0.0001976123,0.00020116,4.824418e-7,0.000477356,0.00654943],"genre_scores_gemma":[0.8449721,0.000009029681,0.1500058,0.00001436899,0.00008065676,0.000006936542,0.00001385832,0.00002391242,0.004873345],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8079273,"threshold_uncertainty_score":0.8163435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113402954970076,"score_gpt":0.2763993803213698,"score_spread":0.255265350771669,"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."}}