{"id":"W7124303883","doi":"10.65109/sjjn3653","title":"Is Nash Equilibrium Approximator Learnable?","year":2023,"lang":"","type":"article","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Learnability; Nash equilibrium; Generalization; Function (biology); Upper and lower bounds; Probably approximately correct learning","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":[0.005437594,0.001500057,0.002218493,0.0007364099,0.0007197531,0.001940103,0.002669055,0.002844154,0.003811643],"category_scores_gemma":[0.05111409,0.0008544189,0.0009898872,0.0004496012,0.002790984,0.005935248,0.002159898,0.004939785,0.0007414303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827368,"about_ca_system_score_gemma":0.001739084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002677291,"about_ca_topic_score_gemma":0.002100809,"domain_scores_codex":[0.9967254,0.001244786,0.000132223,0.0009719657,0.0005433967,0.000382207],"domain_scores_gemma":[0.9798945,0.01610803,0.001000016,0.0016523,0.0009797331,0.0003654787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005201143,0.0002708223,0.006770595,0.0004301288,0.0002597936,0.000245869,0.0004605965,0.7606884,0.002753498,0.1416321,0.003161007,0.08280707],"study_design_scores_gemma":[0.00002088992,0.00008187708,0.0002553319,0.00003279348,0.00001702569,0.00007416168,0.00003868101,0.921116,0.0009758867,0.07690855,0.0004659178,0.00001283571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07956312,0.0006471088,0.9118765,0.001499274,0.00008819113,0.00009081073,0.0001217217,0.0006955416,0.005417732],"genre_scores_gemma":[0.9048212,0.0004375381,0.0901674,0.0005643031,0.00009793202,0.0002011151,0.0002747536,0.0001968189,0.003239045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005437594,"threshold_uncertainty_score":0.0287571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1740320059506578,"score_gpt":0.4127392377308282,"score_spread":0.2387072317801704,"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."}}