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Constraint-Aware and Energy-Efficient Control of an Integrated Chemical Process via Offline-to-Online Reinforcement Learning
Integrated chemical processes involving reaction, separation, recycle, and heat integration often exhibit strong nonlinearities, unit-to-unit coupling, and multiple operating constraints, making their safe and efficient control challenging. Purely online reinforcement learning may require risky trial-and-error explor...