No-Regret and Incentive-Compatible Online Learning.

Rupert Freeman David M. Pennock Chara Podimata Jennifer Wortman Vaughan

Published in: CoRR (2020)

Keyphrases

online learning
incentive compatible
mechanism design
adverse selection
nash equilibrium
e learning
social choice
online convex optimization
incentive compatibility
game theory
regret bounds
active learning
multi agent systems
rational agents
online algorithms
theoretical framework
linear programming