摘要 : Partially observable Markov decision processes (POMDPs) is a well-developed framework for sequential decision-making under uncertainty and partial information. This article considers the (inverse) structural estimation of the prim... 展开
作者 | Yanling Chang Alfredo Garcia Zhide Wang Lu Sun |
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作者单位 | |
页码/总页数 | 5135-5141 / 7 |
语种/中图分类号 | 英语 / TP13 |
关键词 | Computational modeling History Data models Entropy Heuristic algorithms Costs Engines |
DOI | 10.1109/TAC.2022.3217908 |
馆藏号 | IELEP0023 |