Finding nash equilibrium for imperfect information games via fictitious play based on local regret minimization
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DOI: 10.1002/int.22837
Abstract: Finding Nash equilibrium in the domain of imperfect information games as a challenging problem has received much attention. Neural Fictitious Self‐Play (NFSP) is a popular model‐free machine learning algorithm and has computed approximate Nash equilibrium… read more here.
Keywords: equilibrium; information games; nash equilibrium; imperfect information ... See more keywords