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math.OC2026
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…
math.OC2026
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…
math.OC2025
Learning to Optimally Stop Diffusion Processes, with Financial Applications
Min Dai, Yu Sun, Zuo Quan Xu +1
We study optimal stopping for diffusion processes with unknown model primitives within the continuous-time reinforcement learning (RL) framework developed by Wang et al. (2020), an…