Unified reinforcement Q-learning for mean field game and control problems
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Publication:2153488
DOI10.1007/s00498-021-00310-1zbMath1494.91013arXiv2006.13912OpenAlexW3038093235MaRDI QIDQ2153488
Mathieu Laurière, Jean-Pierre Fouque, Andrea Angiuli
Publication date: 5 July 2022
Published in: MCSS. Mathematics of Control, Signals, and Systems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.13912
Linear-quadratic optimal control problems (49N10) Mean field games and control (49N80) Mean field games (aspects of game theory) (91A16)
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Cites Work
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- Mean field games
- Stochastic approximation with two time scales
- Mean-field Markov decision processes with common noise and open-loop controls
- Value iteration algorithm for mean-field games
- Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle
- Learning in mean field games: The fictitious play
- Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games I: The Ergodic Case
- Mean-Field Controls with Q-Learning for Cooperative MARL: Convergence and Complexity Analysis
- Large-Population Cost-Coupled LQG Problems With Nonuniform Agents: Individual-Mass Behavior and Decentralized $\varepsilon$-Nash Equilibria
- Mean Field Games and Mean Field Type Control Theory
- Probabilistic Theory of Mean Field Games with Applications I
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