TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control

Research article (Control Engineering Practice, 2023) · cited 31× · AI/ML
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TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control

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TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control. Retrieved May 24, 2026, from https://4ort.xyz/entity/tasac-a-twin-actor-reinforcement-learning-framework-with-a-stochastic-policy-with-an-application-to-batch-process-contro
MLA “TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tasac-a-twin-actor-reinforcement-learning-framework-with-a-stochastic-policy-with-an-application-to-batch-process-contro.
BibTeX @misc{4ortxyz_tasac-a-twin-actor-reinforcement-learning-framework-with-a-stochastic-policy-with-an-application-to-batch-process-contro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control}}, year = {2026}, url = {https://4ort.xyz/entity/tasac-a-twin-actor-reinforcement-learning-framework-with-a-stochastic-policy-with-an-application-to-batch-process-contro}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control — https://4ort.xyz/entity/tasac-a-twin-actor-reinforcement-learning-framework-with-a-stochastic-policy-with-an-application-to-batch-process-contro (retrieved 2026-05-24)

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