A survey for deep reinforcement learning in Markovian cyber-physical systems: common problems and solutions

DOI10.1016/J.NEUNET.2022.05.013WikidataQ114950118 ScholiaQ114950118MaRDI QIDQ6488715

Timothy Rupprecht, Yanzhi Wang

Publication date: 17 October 2023

Published in: Neural Networks (Search for Journal in Brave)

zbMATH Keywords

resource allocationmotor controlcyber-physical systemsHVACdeep reinforcement learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Model systems in control theory (93Cxx)

Cites Work

• Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
• Reinforcement Learning: A Tutorial Survey and Recent Advances
• Plasticity-on-Chip Design: Exploiting Self-Similarity for Data Communications
• Asymptotic Tracking for Uncertain Dynamic Systems Via a Multilayer Neural Network Feedforward and RISE Feedback Control Structure
• The theory of dynamic programming

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