| Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling | Nov 26, 2022 | Job Shop SchedulingScheduling | —Unverified | 0 |
| Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems | Oct 7, 2022 | Combinatorial OptimizationDecision Making | —Unverified | 0 |
| Learning the Quality of Machine Permutations in Job Shop Scheduling | Jul 7, 2022 | Combinatorial OptimizationDeep Reinforcement Learning | —Unverified | 0 |
| A heuristic method for data allocation and task scheduling on heterogeneous multiprocessor systems under memory constraints | May 9, 2022 | Job Shop SchedulingScheduling | —Unverified | 0 |
| Vehicle management in a modular production context using Deep Q-Learning | May 6, 2022 | Deep Reinforcement LearningJob Shop Scheduling | —Unverified | 0 |
| Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method | Oct 12, 2021 | Combinatorial OptimizationJob Shop Scheduling | —Unverified | 0 |
| A Priority-Aware Replanning and Resequencing Framework for Coordination of Connected and Automated Vehicles | Sep 12, 2021 | Decision MakingJob Shop Scheduling | —Unverified | 0 |
| Solving the Extended Job Shop Scheduling Problem with AGVs -- Classical and Quantum Approaches | Sep 10, 2021 | Job Shop SchedulingScheduling | —Unverified | 0 |
| Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning | Sep 7, 2021 | Job Shop SchedulingScheduling | —Unverified | 0 |
| A new neighborhood structure for job shop scheduling problems | Sep 7, 2021 | Combinatorial OptimizationJob Shop Scheduling | —Unverified | 0 |
