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Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process

Research article (Computers & Chemical Engineering, 2021) · cited 37× · AI/ML
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Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process

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Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process is a scholarly article[1].

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  • Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process. Retrieved May 24, 2026, from https://4ort.xyz/entity/actor-critic-reinforcement-learning-to-estimate-the-optimal-operating-conditions-of-the-hydrocracking-process
MLA “Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/actor-critic-reinforcement-learning-to-estimate-the-optimal-operating-conditions-of-the-hydrocracking-process.
BibTeX @misc{4ortxyz_actor-critic-reinforcement-learning-to-estimate-the-optimal-operating-conditions-of-the-hydrocracking-process_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process}}, year = {2026}, url = {https://4ort.xyz/entity/actor-critic-reinforcement-learning-to-estimate-the-optimal-operating-conditions-of-the-hydrocracking-process}, note = {Accessed: 2026-05-24}}
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