In recent years, with the continuous development of reinforcement learning (RL), we have seen promising results in processing continuous action RL tasks 1,2,3,4,5. In dealing with some continuous ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...