Selecting treatment strategies with dynamic limited-memory influence diagrams
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摘要
ObjectiveThe development of dynamic limited-memory influence diagrams as a framework for representing factorized infinite-horizon partially observable Markov decision processes (POMDPs), the introduction of algorithms for their (approximate) solution, and the application to a dynamic decision problem in clinical oncology.
论文关键词：Planning,Partially observable Markov decision processes,Limited-memory influence diagrams,Simulated annealing,Carcinoid tumors
论文评审过程：Received 5 July 2006, Revised 7 April 2007, Accepted 17 April 2007, Available online 27 June 2007.
论文官网地址：https://doi.org/10.1016/j.artmed.2007.04.004
