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| Titel: |
Use of Isolated Forecasts in Markov Decision Processes with Imperfect Information |
| Auteur: |
Brooks, D. M. Leondes, C. T. |
| Verschenen in: |
IIE transactions |
| Paginering: | Jaargang 6 (1974) nr. 3 pagina's 244-251 |
| Jaar: |
1974-09-01 |
| Inhoud: |
The Markov Decision Process formulation and its application to processes in which there is uncertainty as to process state, or imperfect state information, are reviewed. The question of how to determine an optimal action if some form of intelligence or “forecast” of the process state for a single process stage is posed. An expression for the expected return for each available action is developed, as a perturbation to the basic process. The optimal action and value of the forecast are obtained by combining a Policy Iteration solution of the imperfect information process and evaluation of the policies for the perturbed process based on these imperfect information process parameters. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 11 van 12 gevonden artikelen
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