5 papers
Mean Field Control with Poissonian Common Noise: A Pathwise Compactification Approach
Lijun Bo, Jingfei Wang, Xiaoli Wei +1
This paper contributes to the compactification approach to study mean-field control problems with Poissonian common noise. To overcome the lack of compactness and continuity issues…
Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms
Zhenjie Ren, Xiaoli Wei, Xiang Yu +1
This paper is a continuation work of Ren et al. (2026) aiming to further devise q-learning algorithms for mean-field control (MFC) with controlled common noise. Based on the relaxe…
Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations
Zhenjie Ren, Xiaoli Wei, Xiang Yu +1
This paper investigates the continuous-time counterpart of the Q-function for entropy-regularized mean-field control (MFC) with controlled common noise, coined as q-function by Jia…
Extended mean-field control problems with Poissonian common noise: Stochastic maximum principle and Hamiltonian-Jacobi-Bellman equation
Lijun Bo, Jingfei Wang, Xiaoli Wei +1
This paper studies mean-field control problems with state-control joint law dependence and Poissonian common noise. We develop the stochastic maximum principle (SMP) and establish…
Unified continuous-time q-learning for mean-field game and mean-field control problems
Xiaoli Wei, Xiang Yu, Fengyi Yuan
This paper studies the continuous-time q-learning in mean-field jump-diffusion models in a setting where the environment simulator does not provide direct access to the population…