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arXiv 2203.14554math.OC
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McKean-Vlasov动力学最优控制的代数收敛速度

An algebraic convergence rate for the optimal control of McKean-Vlasov dynamics

Pierre Cardaliaguet, Samuel Daudin, Joe Jackson, Panagiotis Souganidis

摘要:

我们建立了N粒子随机控制问题的值函数在大量参与者极限下向相应的McKean-Vlasov问题(也称为平均场控制)的值函数的代数收敛速率。速率是在特殊和常见的噪声的存在下,并在设置值函数的McKean-Vlasov问题不需要光滑。我们的方法主要依赖于N粒子值函数的N-Lipschitz和半线性估计的一致性以及一定的浓度不等式。

英文摘要:

We establish an algebraic rate of convergence in the large number of players limit of the value functions of N-particle stochastic control problems towards the value function of the corresponding McKean-Vlasov problem also known as mean field control. The rate is obtained in the presence of both idiosyncratic and common noises and in a setting where the value function for the McKean-Vlasov problem need not be smooth. Our approach relies crucially on uniform in N Lipschitz and semi-concavity estimates for the N-particle value functions as well as a certain concentration inequality.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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