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	Reinforcement Learning in Process Industries: Review and Perspective 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300 作者: Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/01/23 Process control process systems engineering reinforcement learning
	Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method 期刊论文 Ad Hoc Networks, 2022, 卷号: 136 作者: Xue, Jianbin; Wu, Qingqing; Zhang, Haijun 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/09/22 Antennas computation offloading Convex optimization Cost effectiveness Deep learning Energy utilization Learning algorithms Learning systems Markov processes Mobile edge computing Multi agent systems Power control Reinforcement learning Unmanned aerial vehicles (UAV) Aerial vehicle Computation offloading Costs Optimization Deep reinforcement learning Edge computing Multi-access edge computing Multiaccess Reinforcement learnings Unmanned aerial vehicle User equipments
	Sensor management method based on weighted optimal sub-pattern assignment distance in multiple extended target tracking 期刊论文 Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2022, 卷号: 39, 期号: 5, 页码: 887-896 作者: Chen, Hui; Liu, Ya-Ting; Zhang, Shuang-Qing; Han, Chong-Zhao 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/07/20 Clutter (information theory) Decision making Decision theory Dispersions Inverse problems Markov processes Numerical methods Set theory State estimation Extended targets Extendedtarget tracking (ETT) Management method Multiple extended target tracking Optimisations Partially observable Markov decision process Random finite sets Sensor management Sub-patterns Weighted optimal sub-pattern assignment
	Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241 作者: Zhu, Yuanheng; Zhao, Dongbin 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/10 Games Nash equilibrium Mathematical model Markov processes Convergence Dynamic programming Training Deep reinforcement learning (DRL) generalized policy iteration (GPI) Markov game (MG) Nash equilibrium Q network zero sum
	Information-Based Sensor Control for Multitask Planning via Multi-Bernoulli Filter 期刊论文 Security and Communication Networks, 2022, 卷号: 2022 作者: Wang, Li; Deng, Dongming; He, Zhongliang 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/08/09 Markov processes Analysis and calculations Bernoulli filters Bhattacharyya distance Control strategies Information criterion Multi-Bernoulli Multi-target-tracking Multi-targets Sensor control Tracking performance
	Optimal Policies for Quantum Markov Decision Processes 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 410-421 作者: Ming-Sheng Ying; Yuan Feng; Sheng-Gang Ying 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/05/24 Quantum Markov decision processes quantum machine learning reinforcement learning dynamic programming decision making
	Approximate Dynamic Programming for Stochastic Resource Allocation Problems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 975-990 作者: Ali Forootani; Raffaele Iervolino; Massimo Tipaldi; Joshua Neilson 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/03/11 Approximate dynamic programming (ADP) dynamic programming (DP) Markov decision processes (MDPs) resource allocation problem
	Progressive Relation Learning for Group Activity Recognition 会议论文 ELECTR NETWORK, JUN 14-19, 2020 作者: Guyue, Hu; Bo, Cui; Yuan, He; Shan, Yu 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/05/28
	Performance analysis of multi-product manufacturing system with buffer breakdown 期刊论文 Kongzhi yu Juece/Control and Decision, 2019, 卷号: 34, 期号: 4, 页码: 699-708 作者: Yang, Xi-Juan; Li, Suo-Ping; Peng, Duo; Lin, Ying 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/11/14 Markov processes Throughput Buffer breakdown Mathematical experiments Multi-products Performance analysis System throughput
	Sensor Control Strategy Based on Gaussian Mixture Multi-target Filter 期刊论文 Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2019, 卷号: 47, 期号: 3, 页码: 521-530 作者: Chen, Hui; He, Zhong-Liang; Lian, Feng; Li, Hui-Bo 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/11/14 Gaussian distribution Kalman filters Markov processes Sampling Finite set statistics Gaussian mixtures Multi-target tracking Partially observable Markov decision process Sensor control

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