3 papers
cs.GT2026
Simultaneous Gradient Learning in First-Price Auctions
Janik Bürgermeister, Julius Durmann, Martin Bichler +3
We study equilibrium learning in discretized Bayesian games, focusing on first-price auctions as a testbed for gradient-based learning dynamics under private information. While the…
cs.LG2026
Learning When to Automate: Queue Control in Human-AI Service Systems
Giovanni Montanari, Marco Scarsini, Vianney Perchet
We study a human-AI service system in which tasks arrive sequentially and are processed through a two-stage architecture: an automated chatbot followed, when necessary, by a human…
cs.GT2026
Dynamic Wholesale Pricing under Censored-Demand Learning
Michalis Deligiannis, Marco Scarsini, Xavier Venel
This paper studies dynamic wholesale pricing and ordering in a two-tier supply chain where firms share POS data and learn about demand from censored demand data. When stockouts occ…