Risk-sensitive discounted Markov decision processes with unbounded reward functions and Borel spaces

Abstract

This paper attempts to study the risk-sensitive discounted discrete-time Markov decision processes in Borel spaces, in which the reward functions are allowed to be unbounded from above and from bel...