{"id":"W4361026739","doi":"10.1016/j.engappai.2023.106068","title":"Optimal non-autonomous area coverage control with adaptive reinforcement learning","year":2023,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reinforcement learning; Voronoi diagram; Metric (unit); Artificial neural network; Maxima and minima; Mathematical optimization; Centroid; Optimal control; Lyapunov function; Artificial intelligence; Mathematics; Nonlinear system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007603553,0.0007051287,0.0009291836,0.0004258726,0.0003402314,0.0007855225,0.001091756,0.0008887952,0.001344536],"category_scores_gemma":[0.002178235,0.000417069,0.000367271,0.0003849638,0.001033597,0.0007462309,0.001292236,0.0007297766,0.0001642255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609134,"about_ca_system_score_gemma":0.0007001021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006488085,"about_ca_topic_score_gemma":0.003828143,"domain_scores_codex":[0.999595,0.0001092861,0.00001298032,0.00009163687,0.00009567398,0.00009546864],"domain_scores_gemma":[0.9988434,0.0006772193,0.0001688633,0.0000540519,0.0001865989,0.0000698459],"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":[0.00009255645,0.00004453406,0.0002924725,0.00003247847,0.00002819855,0.00004643147,0.00003030085,0.9825599,0.001366226,0.003466762,0.0003827115,0.01165752],"study_design_scores_gemma":[0.000009804641,0.00002207949,0.00005035754,0.000001391614,0.00000263325,0.000005467659,0.000002333765,0.9990356,0.00009810137,0.0007126145,0.00005808241,0.000001574178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06282304,0.0003015179,0.9300228,0.0002265046,0.00009239537,0.00004828549,0.00002800195,0.0002453225,0.006212027],"genre_scores_gemma":[0.9851349,0.00005205881,0.012947,0.00004804663,0.00002369759,0.00005373198,0.00001560601,0.00001476462,0.001710145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006488085,"threshold_uncertainty_score":0.01290065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264870930753397,"score_gpt":0.2320998974094287,"score_spread":0.2194511881018948,"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."}}