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Bandits in auctions (& more)

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Multi angle
Auteurs : Perchet, Vianney (Auteur de la Conférence)
CIRM (Editeur )

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Résumé : In this talk, I will introduce the classical theory of multi-armed bandits, a field at the junction of statistics, optimization, game theory and machine learning, discuss the possible applications, and highlights the new perspectives and open questions that they propose We consider competitive capacity investment for a duopoly of two distinct producers. The producers are exposed to stochastically fluctuating costs and interact through aggregate supply. Capacity expansion is irreversible and modeled in terms of timing strategies characterized through threshold rules. Because the impact of changing costs on the producers is asymmetric, we are led to a nonzero-sum timing game describing the transitions among the discrete investment stages. Working in a continuous-time diffusion framework, we characterize and analyze the resulting Nash equilibrium and game values. Our analysis quantifies the dynamic competition effects and yields insight into dynamic preemption and over-investment in a general asymmetric setting. A case-study considering the impact of fluctuating emission costs on power producers investing in nuclear and coal-fired plants is also presented.

Codes MSC :
62L05 - Sequential statistical designs
68T05 - Learning and adaptive systems
91A80 - Applications of game theory
91B26 - Market models (auctions, bargaining, bidding, selling, etc.)
91A26 - Rationality, learning (game theory)

Ressources complémentaires :
http://smai.emath.fr/cemracs/cemracs17/Slides/perchet.pdf

    Informations sur la Vidéo

    Réalisateur : Hennenfent, Guillaume
    Langue : Anglais
    Date de publication : 01/08/17
    Date de captation : 20/07/17
    Sous collection : Research School
    arXiv category : Computer Science and Game Theory
    Domaine : Computer Science ; Probability & Statistics
    Format : MP4 (.mp4) - HD
    Durée : 01:03:25
    Audience : Researchers ; Graduate Students
    Download : https://videos.cirm-math.fr/2017-07-20_Perchet.mp4

Informations sur la Rencontre

Nom de la rencontre : CEMRACS - Summer school: Numerical methods for stochastic models: control, uncertainty quantification, mean-field / CEMRACS - École d'été : Méthodes numériques pour équations stochastiques : contrôle, incertitude, champ moyen
Organisateurs de la rencontre : Bouchard, Bruno ; Chassagneux, Jean-François ; Delarue, François ; Gobet, Emmanuel ; Lelong, Jérôme
Dates : 17/07/17 - 25/08/17
Année de la rencontre : 2017
URL Congrès : http://conferences.cirm-math.fr/1556.html

Données de citation

DOI : 10.24350/CIRM.V.19200503
Citer cette vidéo: Perchet, Vianney (2017). Bandits in auctions (& more). CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19200503
URI : http://dx.doi.org/10.24350/CIRM.V.19200503

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