Distributed planning in mean-field-type games

Hamidou Tembine

doi:10.1016/j.ifacol.2020.12.2609

Distributed planning in mean-field-type games

Hamidou Tembine

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper we study the problem of designing a collection of terminal payoff of mean-field type by interacting decision-makers to a specified terminal measure. We solve in a semi-explicit way a class of distributed planning in mean-field-type games with different objective functionals. We establish some relationships between the proposed framework, optimal transport theory, and distributed control of dynamical systems.

Original language	English (US)
Pages (from-to)	2183-2188
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	53
DOIs	https://doi.org/10.1016/j.ifacol.2020.12.2609
State	Published - 2020
Event	21st IFAC World Congress 2020 - Berlin, Germany Duration: Jul 12 2020 → Jul 17 2020

Keywords

Game theory
Mean-field-type games
Optimal control
Planning
Stochastic control

ASJC Scopus subject areas

Control and Systems Engineering

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10.1016/j.ifacol.2020.12.2609

Cite this

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title = "Distributed planning in mean-field-type games",

abstract = "In this paper we study the problem of designing a collection of terminal payoff of mean-field type by interacting decision-makers to a specified terminal measure. We solve in a semi-explicit way a class of distributed planning in mean-field-type games with different objective functionals. We establish some relationships between the proposed framework, optimal transport theory, and distributed control of dynamical systems.",

keywords = "Game theory, Mean-field-type games, Optimal control, Planning, Stochastic control",

author = "Hamidou Tembine",

note = "Funding Information: We gratefully acknowledge support from U.S. Air Force Office of Scientific Research under grant number FA9550-17-1-0259. The author is member of the NYUAD Research Center on Stability, Instability and Turbulence Publisher Copyright: Copyright {\textcopyright} 2020 The Authors.; 21st IFAC World Congress 2020 ; Conference date: 12-07-2020 Through 17-07-2020",

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AU - Tembine, Hamidou

N1 - Funding Information: We gratefully acknowledge support from U.S. Air Force Office of Scientific Research under grant number FA9550-17-1-0259. The author is member of the NYUAD Research Center on Stability, Instability and Turbulence Publisher Copyright: Copyright © 2020 The Authors.

PY - 2020

Y1 - 2020

N2 - In this paper we study the problem of designing a collection of terminal payoff of mean-field type by interacting decision-makers to a specified terminal measure. We solve in a semi-explicit way a class of distributed planning in mean-field-type games with different objective functionals. We establish some relationships between the proposed framework, optimal transport theory, and distributed control of dynamical systems.

AB - In this paper we study the problem of designing a collection of terminal payoff of mean-field type by interacting decision-makers to a specified terminal measure. We solve in a semi-explicit way a class of distributed planning in mean-field-type games with different objective functionals. We establish some relationships between the proposed framework, optimal transport theory, and distributed control of dynamical systems.

KW - Game theory

KW - Mean-field-type games

KW - Optimal control

KW - Planning

KW - Stochastic control

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DO - 10.1016/j.ifacol.2020.12.2609

M3 - Conference article

AN - SCOPUS:85107815771

SN - 2405-8963

VL - 53

SP - 2183

EP - 2188

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

T2 - 21st IFAC World Congress 2020

Y2 - 12 July 2020 through 17 July 2020

ER -

Distributed planning in mean-field-type games

Abstract

Keywords

ASJC Scopus subject areas

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