Consensus via multi-population robust mean-field games

DOI10.1016/J.SYSCONLE.2017.07.010zbMath1376.93002OpenAlexW2738799409MaRDI QIDQ1680670

Dario Bauso

Publication date: 16 November 2017

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: http://eprints.whiterose.ac.uk/119335/1/MultiPop-journal13-1.pdf

zbMATH Keywords

synchronizationconsensusmean-field games

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Applications of game theory (91A80) Decentralized systems (93A14) Stochastic games, stochastic differential games (91A15) Agent technology and artificial intelligence (68T42)

Related Items (3)

Stochastic programming with primal-dual dynamics: a mean-field game approach ⋮ Reinforcement learning for non-stationary discrete-time linear-quadratic mean-field games in multiple populations ⋮ Discrete-time linear-quadratic mean-field-type repeated games: perfect, incomplete, and imperfect information

Cites Work

• Robust mean field games
• Mean field games
• Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle
• Mean field games models -- a brief survey
• On the efficiency of equilibria in mean-field oscillator games
• Synchronization and Transient Stability in Power Networks and Nonuniform Kuramoto Oscillators
• Risk-Sensitive Mean-Field Games
• Learning in Mean-Field Games
• Consensus and Cooperation in Networked Multi-Agent Systems
• Large-Population Cost-Coupled LQG Problems With Nonuniform Agents: Individual-Mass Behavior and Decentralized $\varepsilon$-Nash Equilibria
• Synchronization of Coupled Oscillators is a Game
• Analysis of Decentralized Quantized Auctions on Cooperative Networks

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