{"id":"W4360764838","doi":"10.1109/icmla55696.2022.00097","title":"IGN : Implicit Generative Networks","year":2022,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Discriminator; Reinforcement learning; Computer science; Quantile regression; Generator (circuit theory); Baseline (sea); Quantile; Artificial intelligence; Bellman equation; State (computer science); Generative grammar; Action (physics); Machine learning; Mathematical optimization; Algorithm; Econometrics; Mathematics; Power (physics)","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":[0.0008107534,0.0009132383,0.0008738676,0.0005617919,0.0004608837,0.001104401,0.002024146,0.00131518,0.01089189],"category_scores_gemma":[0.004576083,0.0005557061,0.0007972046,0.000653382,0.001151622,0.001943846,0.00218553,0.002735512,0.002891688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098479,"about_ca_system_score_gemma":0.0008879204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003750297,"about_ca_topic_score_gemma":0.007799728,"domain_scores_codex":[0.9995227,0.0001674256,0.00001517468,0.0001386833,0.0001027813,0.00005324176],"domain_scores_gemma":[0.9989495,0.0006613822,0.00005085365,0.0001830717,0.00009638203,0.00005894649],"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":[0.0001136966,0.00008832786,0.00139089,0.0001304055,0.00007092579,0.0002046821,0.0001081395,0.7102369,0.001488081,0.16378,0.01184423,0.1105438],"study_design_scores_gemma":[0.000009652308,0.000009335695,0.00006333154,0.00001041017,0.000005514683,0.0000321057,0.000004301508,0.9273109,0.0002942264,0.06981039,0.002445039,0.000004790467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01048697,0.0005398671,0.9726627,0.0007576132,0.0001454796,0.00005378601,0.000627775,0.003210922,0.01151492],"genre_scores_gemma":[0.7188214,0.0007898549,0.2469916,0.00106325,0.0001969799,0.0003191653,0.002838029,0.001393731,0.02758598],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01089189,"threshold_uncertainty_score":0.03643698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386666570780476,"score_gpt":0.2332307319772495,"score_spread":0.2193640662694447,"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."}}