Author

J. Birge

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#machine learning Preprint Sep 2026

A Unified Optimism-Agnostic Framework for Linear Bandits over Spherical Action Sets

Linear bandits model sequential decision-making problems with noisy rewards that are linear in the decision variable, where an agent must simultaneously learn about an unknown parameter that governs the mean rewards, while maximizing (expected) rewards over time. Two prominent algorithmic families--upper confidence bou...

Arda Güçlü, Subhonmesh Bose, J. Birge · 0 citations

Open access Aug 2026

Dynamic learning in strategic games

Practical decision-making in business and government regularly involves interaction with competitors (and other agents such as suppliers and customers). These interactions can have a significant effect on optimal decision making. To determine optimal prices, for example, a monopoly firm may need to vary prices to lea...

Matthew Stern, J. Birge · Annals of Operations Researc... · 0 citations