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Optimal rates and efficient algorithms for online bayesian persuasion
Bayesian persuasion studies how an informed sender should influence beliefs of rational
receivers that take decisions through Bayesian updating of a common prior. We focus on the …
receivers that take decisions through Bayesian updating of a common prior. We focus on the …
Sequential information design: Learning to persuade in the dark
We study a repeated information design problem faced by an informed sender who tries to
influence the behavior of a self-interested receiver. We consider settings where the receiver …
influence the behavior of a self-interested receiver. We consider settings where the receiver …
Multi-receiver online bayesian persuasion
Bayesian persuasion studies how an informed sender should partially disclose information
to influence the behavior of a self-interested receiver. Classical models make the stringent …
to influence the behavior of a self-interested receiver. Classical models make the stringent …
Bayesian persuasion in sequential decision-making
We study a dynamic model of Bayesian persuasion in sequential decision-making settings.
An informed principal observes an external parameter of the world and advises an …
An informed principal observes an external parameter of the world and advises an …
Learning to persuade on the fly: Robustness against ignorance
We study a repeated persuasion setting between a sender and a receiver, where at each
time t, the sender shares information about a payoff-relevant state with the receiver. The …
time t, the sender shares information about a payoff-relevant state with the receiver. The …
Incentivized learning in principal-agent bandit games
This work considers a repeated principal-agent bandit game, where the principal can only
interact with her environment through the agent. The principal and the agent have …
interact with her environment through the agent. The principal and the agent have …
Regret-minimizing Bayesian persuasion
We revisit the celebrated Bayesian persuasion setting and examine how well the Sender
can perform when ignorant of the Receiver's utility. Taking an adversarial approach, we …
can perform when ignorant of the Receiver's utility. Taking an adversarial approach, we …
[PDF][PDF] No-regret learning in bilateral trade via global budget balance
Bilateral trade models the problem of intermediating between two rational agents—a seller
and a buyer—both characterized by a private valuation for an item they want to trade. We …
and a buyer—both characterized by a private valuation for an item they want to trade. We …
Markov persuasion processes: Learning to persuade from scratch
In Bayesian persuasion, an informed sender strategically discloses information to a receiver
so as to persuade them to undertake desirable actions. Recently, a growing attention has …
so as to persuade them to undertake desirable actions. Recently, a growing attention has …
Signaling in Bayesian network congestion games: the subtle power of symmetry
Network congestion games are a well-understood model of multi-agent strategic
interactions. Despite their ubiquitous applications, it is not clear whether it is possible to …
interactions. Despite their ubiquitous applications, it is not clear whether it is possible to …