arXiv Machine Learning August 10, 2026 By Tobias Lademann, Th\'eo Vincent, Jan Peters, Matthias Weigold

The Challenges of Using Reinforcement Learning for Controlling Industrial Energy Systems

Read the original on arXiv Machine Learning →

arXiv:2605. 31044v2 Announce Type: replace Abstract: Reinforcement learning has shown promising results for optimizing the control of industrial energy systems, yet most existing studies remain limited to the application in simulation environments.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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