{"id":"W4385791631","doi":"10.1017/9781009258227.004","title":"Agent Architectures and Hierarchical Control","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Generative grammar; Code (set theory); Implementation; Code generation; Artificial intelligence; Software engineering; Data science; Programming language; Key (lock)","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":[0.0002977795,0.0007090826,0.0004506409,0.000343634,0.0004923236,0.00244915,0.0008020175,0.001089902,0.03337338],"category_scores_gemma":[0.0008203232,0.0004123743,0.0004124441,0.0005276554,0.001240057,0.001995457,0.0009038691,0.002078618,0.008301057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265051,"about_ca_system_score_gemma":0.001125099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745885,"about_ca_topic_score_gemma":0.003203182,"domain_scores_codex":[0.9997646,0.00003889986,0.00001118939,0.00005529249,0.000105028,0.00002500701],"domain_scores_gemma":[0.9998432,0.00005244154,0.00001293468,0.00003014545,0.00004301916,0.00001815736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001919328,0.00001920636,0.0001275362,0.0002227738,0.00002358487,0.00006741973,0.0002287097,0.01178996,0.0008146363,0.7043871,0.1266017,0.1556982],"study_design_scores_gemma":[0.000009622871,0.00001871119,0.000211724,0.0001679771,0.000008507418,0.0000966065,0.00006332443,0.01052967,0.0003337808,0.2674535,0.721095,0.00001161443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003294296,0.04820267,0.2285171,0.009756843,0.004378178,0.00009318421,0.0006806754,0.001701084,0.703376],"genre_scores_gemma":[0.1022663,0.03269129,0.07876027,0.002641639,0.001660102,0.0002960306,0.001067917,0.0006099687,0.7800065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03337338,"threshold_uncertainty_score":0.1116451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099126645794291,"score_gpt":0.1998834696065149,"score_spread":0.178892203148572,"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."}}