Name
Abstract | ||
|---|---|---|
In this paper we investigate average reward semi-Markov decision processes with a general multichain structure using a data-transformation method. By solving the transformed discrete-time average Markov decision processes, we can obtain significant and interesting information on the original average semi-Markov decision processes. If the original semi-Markov decision processes satisfy some appropriate conditions, then stationary optimal policies in the transformed discrete-time models are also optimal in the original semi-Markov decision processes. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1287/moor.1030.0077 | Math. Oper. Res. |
Keywords | DocType | Volume |
stationary optimal policy,discrete-time model,original semi-Markov decision,Semi-Markov Decision Processes,discrete-time average Markov decision,original semi-Markov decision process,General Multichain Structure,appropriate condition,general multichain structure,data-transformation method,original average semi-Markov decision,average reward semi-Markov decision | Journal | 29 |
Issue | ISSN | Citations |
2 | 0364-765X | 8 |
PageRank | References | Authors |
0.80 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liu Jianyong | 1 | 8 | 1.13 |
| Xiaobo Zhao | 2 | 117 | 16.07 |