ENTROPIC MEASUREMENTS OF COMPLEXITY FOR FULLY OBSERVABLE MARKOV DECISION PROCESSES

机译：完全可观察的马尔可夫决策过程的复杂度的熵测

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Complex dynamic systems are an active topic, and how to measure the complexity of dynamic decisions still remains to be an unresolved problem. In this paper, we apply Shannon's entropy as well as other entropy indices to measure the complexity for fully observable Markov decision processes, and extend the measurements of the complexity, uncertainty and unpredictability for Markov Chains to the measurements for Markov decision processes. We develop a methodology of information-theoretic complexity measurements for fully observable Markov decision processes.

机译：复杂的动态系统是一个活跃的话题，如何衡量动态决策的复杂性仍然是一个尚未解决的问题。在本文中，我们应用香农熵和其他熵指标来测量完全可观测的马尔可夫决策过程的复杂度，并将对马尔可夫链的复杂性，不确定性和不可预测性的度量扩展到对马尔可夫决策过程的度量。我们为完全可观的马尔可夫决策过程开发了一种信息理论复杂性度量的方法。

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来源
《The Fourth International Conference on Systems Science and Systems Engineering (ICSSSE'03); Nov 25-28, 2003; Hong Kong SAR, China》|2003年|p.64-70|共7页
会议地点 Hong Kong(CN);Hong Kong(CN)
作者
Hongwei Wang; Chen Li; Huixin Liu;
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作者单位

Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类 N9;
关键词
entropic measurement; complexity; markov chain; markov decision processes;

机译：熵测度;复杂度;马尔可夫链;马尔可夫决策过程;

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1. The Optimal Observability of Partially Observable Markov Decision Processes: Discrete State Space [J] . Rezaeian M.Vo B.-N.Evans J. S. Automatic Control, IEEE Transactions on . 2010,第12期

机译：部分可观马尔可夫决策过程的最优可观性：离散状态空间
2. The complexity of analyzing infinite-state Markov chains, Markov decision processes, and stochastic games (Invited talk) [J] . Kousha Etessami LIPIcs : Leibniz International Proceedings in Informatics . 2013,第1期

机译：分析无限状态马尔可夫链，马尔可夫决策过程和随机博弈的复杂性（特邀演讲）
3. Partially observable Markov decision processes for optimal operations of gas transmission networks [J] . Compare Michele, Baraldi Piero, Marelli Paolo, Reliability Engineering & System Safety . 2020,第Jula期

机译：用于燃气传输网络的最佳操作的部分可观察的马尔可夫决策过程
4. ENTROPIC MEASUREMENTS OF COMPLEXITY FOR FULLY OBSERVABLE MARKOV DECISION PROCESSES [C] . Hongwei Wang, Chen Li, Huixin Liu International conference on systems science and systems engineering . 2003

机译：完全可观察马尔可夫决策过程复杂性的熵测量
5. Modern Methods of Hidden Markov Models and Partially Observable Markov Decision Processes in Biostatistics [D] . Xu, Zekun. 2020

机译：隐藏马尔可夫模型的现代方法和止痛性的部分可观察马尔可夫决策过程
6. Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes [O] . Rajesh P. N. Rao 2010

机译：不确定性下的决策：基于部分可观察的马尔可夫决策过程的神经模型
7. The complexity of policy evaluation for finite-horizon partially-observable Markov decision processes [O] . Martin Mundhenk, Judy Goldsmith, Eric Allender 1997

机译：有限时间部分可观测马尔可夫决策过程的政策评估的复杂性

ENTROPIC MEASUREMENTS OF COMPLEXITY FOR FULLY OBSERVABLE MARKOV DECISION PROCESSES

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