Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1143185 | Operations Research Letters | 2007 | 6 Pages |
Abstract
We consider limiting average Markov decision processes (MDP) with finite state and action spaces. We propose some algorithms to determine optimal strategies for deterministic and general MDPs. These algorithms are based on graph theory and the construction of levels in some aggregated MDP.
Related Topics
Physical Sciences and Engineering
Mathematics
Discrete Mathematics and Combinatorics
Authors
C. Daoui, M. Abbad,