{"id":"W2295827790","doi":"10.15607/rss.2013.ix.038","title":"Maximum Mean Discrepancy Imitation Learning","year":2013,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Imitation; Computer science; Artificial intelligence; Psychology; Social psychology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003949911,0.00006410071,0.000055146,0.00004663779,0.00004897842,0.00005420019,0.00003656546,0.000028577,0.002384563],"category_scores_gemma":[0.00001733263,0.00005930062,0.00002402689,0.00007740487,0.000004924989,0.0002283115,0.000007458234,0.0001164385,0.001712196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001603298,"about_ca_system_score_gemma":0.000001588149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004199756,"about_ca_topic_score_gemma":0.000009501503,"domain_scores_codex":[0.9996204,0.00001461293,0.000102568,0.00007047491,0.00007084308,0.0001210711],"domain_scores_gemma":[0.9998432,0.00001992008,0.00001118887,0.00006559419,0.00001994883,0.00004016453],"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":[5.017274e-7,0.000004298141,0.005824507,0.00001806106,0.00001380275,6.176268e-7,0.0008867639,0.9450351,0.002988105,0.003402859,0.002134925,0.03969046],"study_design_scores_gemma":[0.0001194848,0.00001074327,0.04647124,0.000007249529,0.000003143478,0.000001627134,0.000537672,0.9455365,0.0002597527,0.000832821,0.00607605,0.0001437141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3065041,0.0000803064,0.3441034,0.0002862656,0.0002953984,0.0001951886,2.818845e-8,0.001830577,0.3467047],"genre_scores_gemma":[0.9926809,0.000006529105,0.003081603,0.00003077621,0.00004703349,0.00001123911,0.000007826257,0.00001987902,0.004114204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6861768,"threshold_uncertainty_score":0.9990651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162616651650259,"score_gpt":0.1999777309954296,"score_spread":0.188351564478927,"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."}}