Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information

Research article (Neural Computing and Applications, 2019) · cited 68× · AI/ML
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Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information

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Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information. Retrieved May 24, 2026, from https://4ort.xyz/entity/reinforcement-learning-and-adaptive-optimization-of-a-class-of-markov-jump-systems-with-completely-unknown-dynamic-infor
MLA “Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reinforcement-learning-and-adaptive-optimization-of-a-class-of-markov-jump-systems-with-completely-unknown-dynamic-infor.
BibTeX @misc{4ortxyz_reinforcement-learning-and-adaptive-optimization-of-a-class-of-markov-jump-systems-with-completely-unknown-dynamic-infor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information}}, year = {2026}, url = {https://4ort.xyz/entity/reinforcement-learning-and-adaptive-optimization-of-a-class-of-markov-jump-systems-with-completely-unknown-dynamic-infor}, note = {Accessed: 2026-05-24}}
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