{"id":"W3194149012","doi":"10.1109/tits.2021.3102432","title":"Hybrid Autonomous Driving Guidance Strategy Combining Deep Reinforcement Learning and Expert System","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Reinforcement learning; Artificial intelligence; Computer science; Engineering; Control engineering; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001959601,0.0003050271,0.0003750573,0.0001705426,0.0003244769,0.00007364894,0.0001118929,0.0001812342,0.0000642576],"category_scores_gemma":[0.000001904264,0.0003512798,0.0001121588,0.0001985688,0.00005686492,0.0001920063,4.705556e-7,0.0004877441,0.00004600757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576314,"about_ca_system_score_gemma":0.00004605759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000531292,"about_ca_topic_score_gemma":0.00007184532,"domain_scores_codex":[0.9981661,0.00006543066,0.000806068,0.0003811741,0.0002294864,0.0003516709],"domain_scores_gemma":[0.999344,0.0000909455,0.00009625308,0.0002397852,0.0001080052,0.0001210488],"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":[0.0000122618,0.00002824503,0.0001131218,0.0002332456,0.000149818,0.00007170189,0.001021597,0.9841881,0.002475846,0.001442141,0.000009961904,0.01025397],"study_design_scores_gemma":[0.0005190517,0.0001394249,0.0002338326,0.0005665561,0.00007787721,0.0001369876,0.00713778,0.8489861,0.1391347,0.000012922,0.002468856,0.0005858677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08228674,0.001404979,0.9126745,0.00001768542,0.001048506,0.0002886125,0.000008709395,0.001309384,0.000960918],"genre_scores_gemma":[0.9984251,0.0006016601,0.0002425179,0.00001282962,0.00003350569,0.0001740672,0.00003120646,0.00006002801,0.0004190965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9161384,"threshold_uncertainty_score":0.9998939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237275503693188,"score_gpt":0.2277039663844786,"score_spread":0.2153312113475467,"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."}}