We consider a prospect theoretic version of the classical Q-learning algorithm for discounted reward Markov decision processes, wherein controller perceives distorted and noisy future reward, modeled by nonlinearity that accentuates gains under-represents losses relative to reference point. analyze asymptotic behavior scheme analyzing its limiting differential equation using theory monotone dyn...

With the emergence of energy and environmental problems deepening devices to solve these problems, demand for carbon materials is increasing higher performance required. While a variety scientific knowledge has been poured into creation innovative materials, coordination chemistry also makes significant contribution especially metal-containing materials. In this review, we summarize new related...

Levy and Levy (2002, 2004) develop the Prospect and Markowitz stochastic dominance theory with S-shaped and reverse S-shaped utility functions for investors. In this paper, we extend Levy and Levy’s Prospect Stochastic Dominance theory (PSD) and Markowitz Stochastic Dominance theory (MSD) to the first three orders and link the corresponding S-shaped and reverse S-shaped utility functions to the...