5 papers
Contextual Procurement Auctions with Bandit Learning
Yiling Chen, Shi Feng, Sadie Zhao
We study repeated procurement auctions in which producers have private costs and the platform must learn the context-dependent value of selecting each producer. We evaluate perform…
Modeling Coincident Peak Pricing in Electricity Markets: Challenges and Peak Shaving Effectiveness
Qian Zhang, Sadie Zhao, Lucy Diao +4
Coincident Peak (CP) pricing is widely used in U.S. electricity markets to allocate capacity and transmission costs. This paper develops a behavioral game-theoretic framework for C…
Learning to Persuade a Biased Receiver
Yuqi Pan, Sadie Zhao, Milind Tambe +1
We study a repeated information design setting in which the receiver, who is also the decision-maker, updates beliefs in a systematically biased way. More specifically, a distorted…
Efficient Inverse Multiagent Learning
Denizalp Goktas, Amy Greenwald, Sadie Zhao +2
In this paper, we study inverse game theory (resp. inverse multiagent learning) in which the goal is to find parameters of a game's payoff functions for which the expected (resp. s…
Infinite Horizon Markov Economies
Denizalp Goktas, Sadie Zhao, Yiling Chen +1
In this paper, we study a generalization of Markov games and pseudo-games that we call Markov pseudo-games, which, like the former, captures time and uncertainty, and like the latt…