RL-PaO: Prediction as Action in Decision Making under Uncertainty
Decision-making under uncertainty often relies on predicted parameters, yet accurate prediction does not necessarily lead to good operational decisions. Aligning prediction with downstream optimization requires learning from the consequences of the decisions those predictions induce. We introduce RL-PaO, a reinforcemen...
Jia-Hui Feng, Da-Fang Zhao, Zheng Chen et al.
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