Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks

Research article (IEEE Transactions on Neural Networks and Learning Systems, 2020) · cited 154× · AI/ML
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Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks

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Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/policy-iteration-approach-to-the-infinite-horizon-average-optimal-control-of-probabilistic-boolean-networks
MLA “Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/policy-iteration-approach-to-the-infinite-horizon-average-optimal-control-of-probabilistic-boolean-networks.
BibTeX @misc{4ortxyz_policy-iteration-approach-to-the-infinite-horizon-average-optimal-control-of-probabilistic-boolean-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks}}, year = {2026}, url = {https://4ort.xyz/entity/policy-iteration-approach-to-the-infinite-horizon-average-optimal-control-of-probabilistic-boolean-networks}, note = {Accessed: 2026-05-24}}
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