# Iterative Schemes for Markov Perfect Equilibria

arXiv: https://arxiv.org/abs/2507.20898 · HTML: https://mlsanity.com/paper/2507.20898/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Jul 2025.

## Built on by (most cited first, 1 of 1)

- [Decentralized Bandit Learning of Markov Perfect Equilibria](https://mlsanity.com/paper/2610.14333/) (2026)

## Abstract (arXiv)

We study Markov perfect equilibria in continuous-time dynamic games with finitely many symmetric players. The corresponding Nash system reduces to the Nash-Lasry-Lions equation for the common value function, also known as the master equation in the mean-field setting. In the finite-state space problems we consider, this equation becomes a nonlinear ordinary differential equation admitting a unique classical solution. Leveraging this uniqueness, we prove the convergence of both Picard and weighted Picard iterations, yielding efficient computational methods. Numerical experiments confirm the effectiveness of algorithms based on this approach.
