{"id":"W4302420043","doi":"","title":"Reinforcement Learning with Sequences of Motion Primitives for Robust Manipulation","year":2013,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Reinforcement learning; Reinforcement; Motion (physics); Computer science; Artificial intelligence; Psychology; Social psychology","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":[0.001207869,0.0008936363,0.001135445,0.0004790357,0.0004071514,0.0006818944,0.001330183,0.001165323,0.004641573],"category_scores_gemma":[0.005308506,0.0007322039,0.0005107676,0.0003423197,0.001237462,0.001007359,0.001669121,0.001818209,0.0006425602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008847615,"about_ca_system_score_gemma":0.001140443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005571861,"about_ca_topic_score_gemma":0.00578984,"domain_scores_codex":[0.9995723,0.0001208689,0.00002663491,0.0001192329,0.0001030533,0.00005781285],"domain_scores_gemma":[0.9983192,0.00105694,0.0001888016,0.0001850967,0.0001509248,0.0000990176],"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":[0.0001874204,0.00007004892,0.0004199705,0.00006993704,0.00003950143,0.00004806542,0.00004725773,0.9196841,0.002197389,0.01109507,0.001005498,0.06513578],"study_design_scores_gemma":[0.00001528407,0.0000315753,0.00004410449,0.000004692779,0.00000310977,0.000006047345,0.000002320517,0.9951813,0.0002595717,0.004270354,0.0001787883,0.00000293176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02069179,0.0003221274,0.9753011,0.0001766653,0.0000453193,0.00006756073,0.00004570943,0.0006939873,0.002655719],"genre_scores_gemma":[0.8819829,0.0002001096,0.1128307,0.0001181133,0.0000515926,0.0002337642,0.0001312736,0.0001261092,0.004325427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005571861,"threshold_uncertainty_score":0.01552755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05986585277332575,"score_gpt":0.2356992338129138,"score_spread":0.175833381039588,"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."}}