- Tytuł:
- Optimal stopping model with unknown transition probabilities
- Autorzy:
-
Horiguchi, M.
Piunovskiy, A. B. - Powiązania:
- https://bibliotekanauki.pl/articles/205727.pdf
- Data publikacji:
- 2013
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
Markov Decision Process (MDP) unknown transition matrices
dynamic programming
Bayesian method
optimal stopping - Opis:
- This article concerns the optimal stopping problem for a discrete-time Markov chain with observable states, but with unknown transition probabilities. A stopping policy is graded via the expected total-cost criterion resulting from the non-negative running and terminal costs. The Dynamic Programming method, combined with the Bayesian approach, is developed. A series of explicitly solved meaningful examples illustrates all the theoretical issues.
- Źródło:
-
Control and Cybernetics; 2013, 42, 3; 593-612
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł