A Monte Carlo Neural Fictitious Self-Play approach to approximate Nash Equilibrium in imperfect-information dynamic games
Li Zhang, Yuxuan Chen, Wei Wang, Ziliang Han, Shijian Li, Zhijie Pan, Gang Pan
Topics & Concepts
Computer sciencePerfect informationMonte Carlo tree searchNash equilibriumAsynchronous communicationBest responseArtificial neural networkFictitious playDomain (mathematical analysis)Mathematical optimizationMonte Carlo methodArtificial intelligenceMathematical economicsMathematicsStatisticsMathematical analysisComputer networkArtificial Intelligence in GamesReinforcement Learning in RoboticsDigital Games and Media