Differentiating Through Dual Prices: End-to-End Policy Learning Under Capacity Constraints
cs.LG
Submitted: 2026-08-05
Updated: 2026-10-23
Comments: 15 pages, 7 figures, 2 algorithms. Includes a technical appendix with full proofs, an excess-value decomposition, ablations, and reproducibility details. Code: https://github.com/mahdisalmani/end2end-capacity-constrained-policy-learning
Code: https://github.com/mahdisalmani/end2end-capacity-constrained-policy-learning
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
- A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates
- Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
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