机器学习与数据科学博士生系列论坛（第六十三期）—— Information Design in Games: Stackelberg Equilibrium
Many problems in economic theory involve sequential reasoning between multiple parties with asymmetric access to information. This broad class of problems leads to many research questions about information design and optimal strategic behaviors. At a high level, information design can be seen as a Stackelberg game. Thus, we can consider information design from a game-theoretic perspective.
In this talk, we first discuss the relation between information design and the Stackelberg game, also considering the case in multiplayer. In the second part, we focus on learning Stackelberg equilibria in games. The goal is to approximate the leader's optimal strategy. Recent research consists of robust Stackelberg equilibria and sample-efficient learning in reinforcement learning.