Abstract: The Job Shop Scheduling Problem (JSP) is one of the typical combinatorial optimization challenges, and has been a hot and difficult topic in academic research since the 1950s. In recent ...

Abstract: Existing Spark task scheduling methods primarily focus on intra-application task scheduling, often overlooking the scheduling of batch applications. This limitation can lead to prolonged ...

Research-ready implementation of reinforcement learning algorithms for job scheduling optimization. This project demonstrates state-of-the-art RL techniques applied to realistic scheduling problems ...