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Machine learning–driven predictive modeling and process optimization of one-pot biomass conversion to FDCA via heterogeneous

Process Optimization Overrated - Deep RL Wins

Process Optimization Overrated - Deep RL Wins Process optimization alone is no longer sufficient; deep reinforcement learning delivers real-time reactor control that outperforms traditional methods. In 2024, deep reinforcement learning reduced experimentation cycles by 70% compared with conventional grid-search, cutting weeks of trial work into hours. Process Optimization in One-Pot