کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408920 679047 2008 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An adaptive policy gradient in learning Nash equilibria
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
An adaptive policy gradient in learning Nash equilibria
چکیده انگلیسی

A novel Nash equilibria (NE) learning algorithm for finite strategic games is presented in this paper. Based on an assumption that each player tries to maximize his own payoff, the algorithm explores the policies of the players in the policy profile space to increase the payoffs in each learning iteration. This paper investigates the effectiveness of the algorithm and show experimentally that the proposed algorithm accelerates the policy learning process. This algorithm learns faster than other proposed intelligent learning approaches, and can learn almost all the existing NE for a finite strategic game.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 1–3, December 2008, Pages 533–538
نویسندگان
, ,