• ALTERNATIVE SELECTION FUNCTIONS FOR INFORMATION SET MONTE CARLO TREE SEARCH 

      Autor: Lisy , Viliam
      (České vysoké učení technické v PrazeCzech Technical University in Prague, 2014)
      We evaluate the performance of various selection methods for the Monte Carlo Tree Search algorithm in two-player zero-sum extensive-form games with imperfect information. We compare the standard Upper Confident Bounds ...