Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach

Imanol Echeverria, Maialen Murua, Roberto Santana

In scheduling problems common in the industry and various real-world scenarios, responding in real-time to disruptive events is essential. Recent methods propose the use of deep re…