A school may improve its students' job outcomes if it issues only coarse grades. Google can
reduce congestion on roads by giving drivers noisy information about the state of traffic. A …

Reinforcement learning (RL) is inspired by the way human infants and animals learn from
the environment. The setting is somewhat idealized because, in actual tasks, other agents in …

Litigants settle in the shadow of the law, but they behave in the shadow of the settlement
outcome. Disparities in bargaining power drive a wedge between the shadow of the …

There are two theoretically parallel ways in which principals can manipulate agents' choices:
with monetary incentives (mechanism design) or Bayesian persuasion (information design) …

Abstract Originating from Kamenica and Gentzkow (Am Econ Rev 101 (6): 2590–2615,
2011), we analyze multi-receiver Bayesian persuasion games with heterogeneous beliefs …

This work considers a novel information design problem and studies how the craft of payoff-
relevant environmental signals solely can influence the behaviors of intelligent agents. The …

When considering whether to bring a lawsuit, a plaintiff may delegate the decision to her
lawyer-better informed about the case's merits-or consult with her lawyer and decide for …

We investigate a two-period Bayesian persuasion game, where the receiver faces a
decision, akin to a one-armed bandit problem: to undertake an action, gaining noisy …

We examine the process of intertemporal decision-making among potential offenders by
analyzing their response to announcements of future changes in anticrime policies. We …

We study the optimal use of information in Markov games with incomplete information on
one side and two states. We provide a finite-stage algorithm for calculating the limit value as …