RISK-SENSITIVE AVERAGE MARKOV DECISION PROCESSES IN GENERAL SPACES.

Autor: XIAN CHEN, QINGDA WEI
Předmět:
Zdroj: SIAM Journal on Control & Optimization; 2024, Vol. 62 Issue 4, p2115-2147, 33p
Abstrakt: In this paper we study discrete-time Markov decision processes with Borel state and action spaces under the risk-sensitive average cost criterion. The cost function can be unbounded. We introduce a new kernel and prove the quasi-compactness of the kernel from which the multiplicative Poisson equation is derived. Moreover, we develop a new approach to show the existence of a solution to the risk-sensitive average cost optimality equation and obtain the existence of an optimal deterministic stationary policy. Furthermore, we give two examples to illustrate our results. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index