A continuous time model where Nash equilibrium is build in a dynamic programming setting or as a system of backward looking SDEs?

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I am looking for a continuous time model, that builds a game among a continuum of agents who interact strategically and they have mean-variance utility function. In particular mean-variance utility functions are defined as

$$U[X]=\mathbb{E}[X]-\delta_i\mathbb{V}ar[X]$$

where $X\in \mathbb{L}^2\left(\Omega,\mathcal{F},\mathbb{P}\right)$ is the random payoff while $\delta_i$ denotes the agent's risk aversion coefficient.

A continuous time model where the Nash equilibrium is build in the dynamic programming setting or as a system of backward looking stochastic differential equations. Has anybody seen anything like this?