Reinforcement Learning of Sequential Price Mechanisms

no code implementations • 2 Oct 2020 • Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo

We introduce the use of reinforcement learning for indirect mechanisms, working with the existing class of sequential price mechanisms, which generalizes both serial dictatorship and posted price mechanisms and essentially characterizes all strongly obviously strategyproof mechanisms.

reinforcement-learning Reinforcement Learning (RL)

Ridesharing with Driver Location Preferences

no code implementations • 30 May 2019 • Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes

We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations.

Multiagent Systems Computer Science and Game Theory