Open AccessAIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games
Author(s) -
Neil Burch,
Martin Schmid,
Matej Moravčík,
Dustin Morill,
Michael Bowling
Publication year - 2018
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.11481
Subject(s) - variance reduction , variance (accounting) , perfect information , computer science , estimator , imperfect , heuristic , limit (mathematics) , value (mathematics) , victory , mathematical optimization , artificial intelligence , statistics , machine learning , mathematics , monte carlo method , mathematical economics , economics , mathematical analysis , linguistics , philosophy , accounting , political science , politics , law
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