{"id":"W2911324515","doi":"10.1007/978-3-030-30281-8_20","title":"WiseMove: A Framework to Investigate Safe Deep Reinforcement Learning for Autonomous Driving","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinforcement learning; Modular design; Scalability; Context (archaeology); Software; Motion planning; Architecture; Deep 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005747407,0.000793998,0.0005636835,0.0003263013,0.0004058368,0.0008829915,0.001968219,0.001540938,0.003826824],"category_scores_gemma":[0.001667328,0.0005318522,0.0007123089,0.0002650036,0.001079564,0.001047669,0.001494649,0.002168264,0.0004458986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009543461,"about_ca_system_score_gemma":0.001285709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007263957,"about_ca_topic_score_gemma":0.009667765,"domain_scores_codex":[0.9997842,0.00006464294,0.000006518503,0.00005052246,0.00006107775,0.0000331499],"domain_scores_gemma":[0.9996606,0.0002006177,0.00002031313,0.00003477373,0.00004791463,0.00003586641],"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":[0.00008084606,0.00006518847,0.0003788862,0.000089931,0.00004732405,0.00008300712,0.00005296142,0.8374718,0.002232916,0.1232699,0.002896345,0.03333098],"study_design_scores_gemma":[0.000004908927,0.00001294722,0.00002351304,0.000004283505,0.000002834685,0.000005789914,0.000003421429,0.9749028,0.0003086179,0.02390878,0.0008197365,0.000002295123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01117722,0.0004958475,0.9824176,0.0002444765,0.00008056306,0.00003938695,0.0001441662,0.0006913489,0.004709269],"genre_scores_gemma":[0.5533806,0.0007256797,0.4295678,0.0002736379,0.00009682916,0.0002398136,0.0004195734,0.0004864863,0.01480952],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007263957,"threshold_uncertainty_score":0.01444334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00858529657000148,"score_gpt":0.2190842659755918,"score_spread":0.2104989694055903,"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."}}