Linear Quadratic Mean Field Type Control and Mean Field Games with Common Noise, with Application to Production of an Exhaustible Resource
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Abstract (arXiv)
We study a general linear quadratic mean field type control problem and connect it to mean field games of a similar type. The solution is given both in terms of a forward/backward system of stochastic differential equations and by a pair of Riccati equations. In certain cases, the solution to the mean field type control is also the equilibrium strategy for a class of mean field games. We use this fact to study an economic model of production of exhaustible resources. Keywords: mean field type control, mean field games, linear-quadratic, optimal control, riccati equations, exhaustible resource production
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jul 2016.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 1; 2026: 2.
6 papers.
- 2022Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problemscited by 19
- 2021Reinforcement Learning for Mean Field Games, with Applications to Economicscited by 14
- 2021Signatured Deep Fictitious Play for Mean Field Games with Common Noisecited by 12
- 2026Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundationscited by 5
- 2025Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Controlcited by 3
- 2026Population-Aware Imitation Learning in Mean-field Games with Common Noisecited by 0
- 2026Population-Aware Imitation Learning in Mean-field Games with Common Noise5 May 2026
- 2026Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations30 Apr 2026
- 2025Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control20 Oct 2025
- 2022Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problems1 Nov 2022
- 2021Reinforcement Learning for Mean Field Games, with Applications to Economics25 Jun 2021
- 2021Signatured Deep Fictitious Play for Mean Field Games with Common Noise6 Jun 2021