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Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback
Decision-focused learning (DFL) trains predictive models by optimizing downstream decision quality rather than standalone prediction accuracy. For contextual linear optimization, most existing DFL methods assume offline data and full observations of the objective cost vector. We develop an on-policy
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