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Achieving hierarchy-free approximation for bilevel programs with equilibrium constraints
In this paper, we develop an approximation scheme for solving bilevel programs with
equilibrium constraints, which are generally difficult to solve. Among other things, calculating …
equilibrium constraints, which are generally difficult to solve. Among other things, calculating …
Bayesian mechanism design for blockchain transaction fee allocation
In blockchain systems, the design of transaction fee mechanisms (TFMs) is essential for
stability and satisfaction for both miners and users. A recent work has proven the …
stability and satisfaction for both miners and users. A recent work has proven the …
Estimating and incentivizing imperfect-knowledge agents with hidden rewards
In practice, incentive providers (ie, principals) often cannot observe the reward realizations
of incentivized agents, which is in contrast to many principal-agent models that have been …
of incentivized agents, which is in contrast to many principal-agent models that have been …
Dynamic tolling for inducing socially optimal traffic loads
How to design tolls that induce socially optimal traffic loads with dynamically arriving
travelers who make selfish routing decisions? We propose a two-timescale discrete-time …
travelers who make selfish routing decisions? We propose a two-timescale discrete-time …
Repeated principal-agent games with unobserved agent rewards and perfect-knowledge agents
Motivated by a number of real-world applications from domains like healthcare and
sustainable transportation, in this paper we study a scenario of repeated principal-agent …
sustainable transportation, in this paper we study a scenario of repeated principal-agent …
Optimal pricing for linear-quadratic games with nonlinear interaction between agents
This letter studies a class of network games with linear-quadratic payoffs and externalities
exerted through a strictly concave interaction function. This class of game is motivated by the …
exerted through a strictly concave interaction function. This class of game is motivated by the …
Socially optimal energy usage via adaptive pricing
A central challenge in using price signals to coordinate the electricity consumption of a
group of users is the operator's lack of knowledge of the users due to privacy concerns. In …
group of users is the operator's lack of knowledge of the users due to privacy concerns. In …
Inducing Desired Equilibrium in Taxi Repositioning Problem with Adaptive Incentive Design
We study the problem of designing incentives to induce desired equilibrium in taxi
repositioning problems. In this scenario, self-interested idle drivers will update their …
repositioning problems. In this scenario, self-interested idle drivers will update their …
[КНИГА][B] Information Asymmetries in Data-Driven and Sustainable Operations: Stochastic Models and Adaptive Algorithms for Strategic Agents
I Dogan - 2024 - search.proquest.com
The modern landscape of operations management (OM) has undergone a profound
paradigm shift driven by two surging forces: 1) the integration of expansive real-time data …
paradigm shift driven by two surging forces: 1) the integration of expansive real-time data …
Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test
Causal phenomena associated with rare events occur across a wide range of engineering
problems, such as risk-sensitive safety analysis, accident analysis and prevention, and …
problems, such as risk-sensitive safety analysis, accident analysis and prevention, and …