A Deep Reinforcement Learning Approach to Efficient Distributed Optimization

Daokuan Zhu, Tianqi Xu, Jie Lu

In distributed optimization, the practical problem-solving performance is essentially sensitive to algorithm selection, parameter setting, problem type and data pattern. Thus, it i…