A survey on applications of reinforcement learning in spatial resource allocation
Abstract The challenge of spatial resource allocation is pervasive across various domains such as transportation, click here industry, and daily life.As the scale of real-world issues continues to expand and demands for real-time solutions increase, traditional algorithms face significant computational pressures, struggling to achieve optimal effic