{"id":"W4221141447","doi":"10.1111/cgf.14504","title":"A Survey on Reinforcement Learning Methods in Character Animation","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Commission","keywords":"Crowds; Reinforcement learning; Computer science; Animation; Character (mathematics); Human–computer interaction; Artificial intelligence; Control (management); Virtual reality; Reinforcement; Engineering; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006848353,0.00008815312,0.00009830538,0.0002944871,0.0001245114,0.00003309803,0.00009096542,0.00002573208,0.0001128963],"category_scores_gemma":[0.000007711595,0.0001021089,0.00003915124,0.0003022611,0.000006517254,0.00008264519,0.00005704098,0.0003256747,0.00001521537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006892228,"about_ca_system_score_gemma":0.000004353004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009858762,"about_ca_topic_score_gemma":0.00001822068,"domain_scores_codex":[0.9991908,0.0001939339,0.0001975417,0.0001141455,0.0001396954,0.0001638844],"domain_scores_gemma":[0.9997683,0.00005737805,0.0000334716,0.00009773341,0.00001612459,0.00002696978],"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":[0.00001858561,0.00005878771,0.01449437,0.00003974303,0.00002905886,0.000004556511,0.001185125,0.9104985,0.0005856097,0.03263591,0.004432857,0.03601691],"study_design_scores_gemma":[0.0002030103,0.000105639,0.1383286,0.000009171052,0.000001050515,8.122778e-7,0.00001506127,0.8479074,0.00005859304,0.000176357,0.01309005,0.0001042077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1462377,0.00003328729,0.8510381,0.0001251297,0.0008544851,0.0002402345,0.000004429356,0.000327981,0.001138595],"genre_scores_gemma":[0.9979293,0.00001067279,0.001432106,0.0003086679,0.00003442485,0.00002650781,0.0001581994,0.00001855198,0.00008153735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8516916,"threshold_uncertainty_score":0.4163882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221259735262973,"score_gpt":0.286887416287031,"score_spread":0.2546748189344012,"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."}}