Solving Finite-Horizon Discounted Non-Stationary MDPS

Autor: Bouchra El Akraoui, Daoui Cherki
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Folia Oeconomica Stetinensia, Vol 23, Iss 1, Pp 1-15 (2023)
Druh dokumentu: article
ISSN: 1898-0198
2023-0001
DOI: 10.2478/foli-2023-0001
Popis: Markov Decision Processes (MDPs) are a powerful framework for modeling many real-world problems with finite-horizons that maximize the reward given a sequence of actions. Although many problems such as investment and financial market problems where the value of a reward decreases exponentially with time, require the introduction of interest rates.
Databáze: Directory of Open Access Journals