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Found 5 papers, 2 papers with code
Semidiscrete optimal transport with unknown costs
Semidiscrete optimal transport is a challenging generalization of the classical transportation problem in linear programming.
Optimal data-driven hiring with equity for underrepresented groups
We present a hiring policy that depends on the protected attribute functionally, but not statistically, and we prove that, among all possible fair policies, ours is optimal with respect to the firm's objective.
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes
Biopharmaceutical manufacturing is a rapidly growing industry with impact in virtually all branches of medicines.
Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records
Comorbid chronic conditions are common among people with type 2 diabetes.
A New Optimal Stepsize For Approximate Dynamic Programming
Approximate dynamic programming (ADP) has proven itself in a wide range of applications spanning large-scale transportation problems, health care, revenue management, and energy systems.
