Research on the Application of Deep Reinforcement Learning in Logistics Scheduling
Traditionally, the approaches of logistics scheduling are hard to adapt to the rapid changes of the operational conditions and many of them do not have self-adaptive optimization capability, which will leads to the unsmooths and high operational expenses. In this research, we use Deep Reinforcement Learning (DRL) to im...