{"id":"W2142401694","doi":"10.1109/robot.2009.5152834","title":"Model-based and model-free reinforcement learning for visual servoing","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual servoing; Reinforcement learning; Computer science; Artificial intelligence; Computer vision; Reinforcement; Robot; Engineering; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432884,0.0000999518,0.00009791998,0.00006658207,0.0001818921,0.0001127945,0.000288056,0.00002143467,0.000002329791],"category_scores_gemma":[0.00004026855,0.00008903798,0.00003491545,0.00008699987,0.00001094219,0.0005486634,0.0001144065,0.00007766066,0.000001701968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093113,"about_ca_system_score_gemma":0.00003805287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.93077e-7,"about_ca_topic_score_gemma":4.822181e-7,"domain_scores_codex":[0.9992135,0.000007259056,0.0001461303,0.0002600711,0.0001429826,0.0002300618],"domain_scores_gemma":[0.999554,0.00003385644,0.00004235842,0.0002344489,0.00005385487,0.00008152563],"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":[0.000006145814,0.000008730142,0.000006947135,0.000004604067,9.227834e-7,3.33952e-7,0.0000847639,0.9140189,0.001382265,0.02190978,0.0001604509,0.06241612],"study_design_scores_gemma":[0.000633746,0.0001216192,0.000008517923,0.00001556275,0.000001712871,8.593867e-7,0.00001014084,0.982934,0.001989977,0.01391549,0.0002393402,0.0001290463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009105792,0.00002448707,0.9945353,0.001576836,0.00002121097,0.0001300544,8.984509e-8,0.00018735,0.002614116],"genre_scores_gemma":[0.5222714,0.000002743049,0.4749964,0.001970874,0.000007979274,0.000003598987,8.566527e-7,0.000003475343,0.0007427234],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5213608,"threshold_uncertainty_score":0.3630863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206519342359177,"score_gpt":0.3050272953265535,"score_spread":0.2829621019029618,"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."}}