arXiv Machine Learning By Patrick Helm, Jan-Niklas Doerr, Joren Gijsbrechts, Stefan Minner

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection

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arXiv:2608. 02343v1 Announce Type: cross Abstract: Many operational problems are constrained sequential decision processes with large, combinatorial action spaces and interdependent feasibility constraints.

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