#machine learning
Oct 2025
A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation
This work formulations CPRA as a potential game and construct the potential function based on the objective function of CPRA, laying a theoretical foundation for approximating the Nash equilibrium of this NP-hard problem, and proposes a Game-Theoretic Spatio-Temporal Reinforcement Learning (GSTRL) framework to solve it...
Songxin Lei, Qiong-Yan Wang, Yanchen Zhu et al.
· arXiv.org · 2 citations