ϵ-Nash mean-field games for linear-quadratic systems with random jumps and applications
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Publication:5157955
DOI10.1080/00207179.2019.1651940zbMath1471.91031OpenAlexW2966602023MaRDI QIDQ5157955
Publication date: 20 October 2021
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2019.1651940
Linear-quadratic optimal control problems (49N10) Dynamic games (91A25) Mean field games and control (49N80) Mean field games (aspects of game theory) (91A16)
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Cites Work
- Unnamed Item
- Linear-quadratic mean field games
- Maximum principle for forward-backward stochastic control system with random jumps and applications to finance
- A risk-sensitive stochastic maximum principle for optimal control of jump diffusions and its applications
- Numerical solution of stochastic differential equations with jumps in finance
- Mean field games
- A stochastic maximum principle for systems with jumps, with applications to finance.
- Distributed control of multi-agent systems with random parameters and a major agent
- Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle
- $\epsilon$-Nash Mean Field Game Theory for Nonlinear Stochastic Dynamical Systems with Major and Minor Agents
- Robust mean field games for coupled Markov jump linear systems
- Backward Mean-Field Linear-Quadratic-Gaussian (LQG) Games: Full and Partial Information
- Risk-Sensitive Mean-Field Games
- Mean Field Games for Large-Population Multiagent Systems with Markov Jump Parameters
- Large-Population LQG Games Involving a Major Player: The Nash Certainty Equivalence Principle
- Markov Perfect Industry Dynamics With Many Firms
- Fully Coupled Forward-Backward Stochastic Differential Equations and Applications to Optimal Control
- Financial Modelling with Jump Processes
- Asymptotically Optimal Decentralized Control for Large Population Stochastic Multiagent Systems
- The NCE (Mean Field) Principle With Locality Dependent Cost Interactions
- Large-Population Cost-Coupled LQG Problems With Nonuniform Agents: Individual-Mass Behavior and Decentralized $\varepsilon$-Nash Equilibria
- Linear Quadratic Risk-Sensitive and Robust Mean Field Games
- Nash, Social and Centralized Solutions to Consensus Problems via Mean Field Control Theory
- $\epsilon$-Nash Equilibria for Partially Observed LQG Mean Field Games With a Major Player
- Option pricing when underlying stock returns are discontinuous
- Vaccination and the theory of games
