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Author

A. Ciré

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Preprint Aug 2026

Dual-Based Weight Selection for Approximate Linear Programming

Approximate Linear Programming (ALP) is widely used for large-scale Markov Decision Processes (MDPs), but its performance can be sensitive to the choice of state-relevance weights, which are typically selected heuristically. Performance bounds suggest aligning these weights with the discounted occupancy measure of the...

Li Su, A. Ciré, Adam Diamant et al. · 0 citations
Aug 2026

Network Relaxations for Combinatorial Bilevel Optimization Under Linear Interactions

A new representation for problems in which leader-follower interactions are captured by linear inequalities involving binary leader decisions is introduced, which uses a layered decision-diagram network whose paths encode the leader’s choices and whose terminal values represent the follower’s optimal objective value.

Leonardo Lozano, David Bergman, A. Ciré · 1 citation

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