Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation

Research article (Computers & Chemical Engineering, 2020) · cited 35× · AI/ML
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Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation

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Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-of-control-framework-based-on-deep-reinforcement-learning-and-monte-carlo-sampling-in-downstream-separation
MLA “Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-of-control-framework-based-on-deep-reinforcement-learning-and-monte-carlo-sampling-in-downstream-separation.
BibTeX @misc{4ortxyz_design-of-control-framework-based-on-deep-reinforcement-learning-and-monte-carlo-sampling-in-downstream-separation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation}}, year = {2026}, url = {https://4ort.xyz/entity/design-of-control-framework-based-on-deep-reinforcement-learning-and-monte-carlo-sampling-in-downstream-separation}, note = {Accessed: 2026-05-24}}
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