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Infrequent adverse event prediction in low carbon energy production using machine learning
Machine Learning is one of the fastest growing fields in academia. Many ...
01/19/2020 ∙ by Stefano Coniglio, et al. ∙
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Bayesian Persuasion with Sequential Games
We study an information-structure design problem (a.k.a. persuasion) wit...
08/02/2019 ∙ by Andrea Celli, et al. ∙
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Computing Optimal Coarse Correlated Equilibria in Sequential Games
We investigate the computation of equilibria in extensive-form games whe...
01/18/2019 ∙ by Andrea Celli, et al. ∙
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Leadership in Singleton Congestion Games: What is Hard and What is Easy
We study the problem of computing Stackelberg equilibria Stackelberg gam...
08/30/2018 ∙ by Matteo Castiglioni, et al. ∙
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Computing a Pessimistic Leader-Follower Equilibrium with Multiple Followers: the Mixed-Pure Case
The search problem of computing a leader-follower equilibrium has been w...
08/04/2018 ∙ by Stefano Coniglio, et al. ∙
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Methods for finding leader--follower equilibria with multiple followers
The concept of leader--follower (or Stackelberg) equilibrium plays a cen...
07/07/2017 ∙ by Nicola Basilico, et al. ∙
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