{"id":"W2979612126","doi":"10.1049/iet-cta.2018.6163","title":"Online model‐free reinforcement learning for the automatic control of a flexible wing aircraft","year":2019,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reinforcement learning; Wing; Computer science; Control (management); Control theory (sociology); Control engineering; Fixed wing; Aeronautics; Artificial intelligence; Engineering; Aerospace engineering","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":[0.0005992508,0.0004094675,0.0004571242,0.000167419,0.0002686557,0.000426355,0.0005395421,0.0005670321,0.001023158],"category_scores_gemma":[0.001191776,0.0001855185,0.0002890922,0.0001365358,0.0006605041,0.0003014168,0.0004667348,0.000843125,0.0001387173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005024844,"about_ca_system_score_gemma":0.0009405275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006702536,"about_ca_topic_score_gemma":0.003935721,"domain_scores_codex":[0.9997974,0.00006574857,0.000007851521,0.00003236506,0.00006288095,0.00003371316],"domain_scores_gemma":[0.999522,0.0002707531,0.00008045703,0.0000273746,0.00007746692,0.00002198983],"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":[0.00004793291,0.00003807637,0.0002244518,0.00003636736,0.00001704714,0.00005297064,0.00003398554,0.9700342,0.002961028,0.005620758,0.000289676,0.02064359],"study_design_scores_gemma":[0.00000469243,0.00002130578,0.00003375297,0.000001111628,0.000001450243,0.000003737989,9.724001e-7,0.9991591,0.0002109949,0.0004801275,0.00008135858,0.000001427333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05917958,0.0003918792,0.9358497,0.0002598177,0.00006117804,0.00003764163,0.00001300797,0.0004059326,0.003801134],"genre_scores_gemma":[0.9865173,0.00007297238,0.0122568,0.00002679153,0.00001261658,0.00003562551,0.000009855649,0.000008906096,0.001059075],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006702536,"threshold_uncertainty_score":0.01332706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00934140909909165,"score_gpt":0.2502950338054101,"score_spread":0.2409536247063184,"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."}}