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Reinforcement Learning in Operational Research: A Technical Review and Practical Roadmap

Lu, Yahan et al.
arXiv (All) · Papers
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optimization-and-control
The growing demand for real-time, data-driven decision-making in complex and dynamic systems is placing increasing pressure on traditional Operational Research (OR) methodologies. Reinforcement learning (RL) has emerged as a complementary approach, offering strong learning and computational capabili
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