Reinforcement Learning in Operational Research: A Technical Review and Practical Roadmap
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 capabilities for sequential...
Ya-Han Lu, Dong-Yang Xia, Nurşen Aydın et al.
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