Back قرارات عملية ماركوف Arabic Procés de decisió de Màrkov Catalan Markovův rozhodovací proces Czech Markow-Entscheidungsproblem German Proceso de decisión de Márkov Spanish فرایندهای تصمیمگیری مارکوف Persian Processus de décision markovien French תהליך החלטה מרקובי HE Markov ákvarðanaferli Icelandic Processo decisionale di Markov Italian
Markov decision process (MDP), also called a stochastic dynamic program or stochastic control problem, is a model for sequential decision making when outcomes are uncertain.[1]
Originating from operations research in the 1950s,[2][3] MDPs have since gained recognition in a variety of fields, including robotics, ecology, economics, healthcare, telecommunications and artificial intelligence.
- ^ Puterman, Martin L. (1994). Markov decision processes: discrete stochastic dynamic programming. Wiley series in probability and mathematical statistics. Applied probability and statistics section. New York: Wiley. ISBN 978-0-471-61977-2.
- ^ Schneider, S.; Wagner, D. H. (1957-02-26). "Error detection in redundant systems". Papers presented at the February 26-28, 1957, western joint computer conference: Techniques for reliability. IRE-AIEE-ACM '57 (Western). New York, NY, USA: Association for Computing Machinery: 115–121. doi:10.1145/1455567.1455587. ISBN 978-1-4503-7861-1.
- ^ Bellman, Richard (1958-09-01). "Dynamic programming and stochastic control processes". Information and Control. 1 (3): 228–239. doi:10.1016/S0019-9958(58)80003-0. ISSN 0019-9958.