2 papers
cs.LG2025
Offline reinforcement learning for job-shop scheduling problems
Imanol Echeverria, Maialen Murua, Roberto Santana
Recent advances in deep learning have shown significant potential for solving combinatorial optimization problems in real-time. Unlike traditional methods, deep learning can genera…
cs.LG2025
Self-Evaluation for Job-Shop Scheduling
Imanol Echeverria, Maialen Murua, Roberto Santana
Combinatorial optimization problems, such as scheduling and route planning, are crucial in various industries but are computationally intractable due to their NP-hard nature. Neura…