Bayesian persuasion and its derived information design problem has been ...
Optimizing strategic decisions (a.k.a. computing equilibrium) is key to ...
Deep generative models (DGMs) are data-eager. Essentially, it is because...
A decision maker looks to take an active action (e.g., purchase some goo...
While game-theoretic models and algorithms have been developed to combat...
In a multi-party machine learning system, different parties cooperate on...
First price auctions are widely used in government contracts and industr...
The problem of market clearing is to set a price for an item such that
q...
Using AI approaches to automatically design mechanisms has been a centra...
In this study, we apply reinforcement learning techniques and propose wh...
Recently, shared mobility has been proven to be an effective way to reli...