3 papers
cs.AI2026
Policy-Based Deep Reinforcement Learning Hyperheuristics for Job-Shop Scheduling Problems
Sofiene Lassoued, Asrat Gobachew, Stefan Lier +1
This paper proposes a policy-based deep reinforcement learning hyper-heuristic framework for solving the Job Shop Scheduling Problem. The hyper-heuristic agent learns to switch sch…
cs.AI2026
Policy-Based Reinforcement Learning with Action Masking for Dynamic Job Shop Scheduling under Uncertainty: Handling Random Arrivals and Machine Failures
Sofiene Lassoued, Stefan Lier, Andreas Schwung
We present a novel framework for solving Dynamic Job Shop Scheduling Problems under uncertainty, addressing the challenges introduced by stochastic job arrivals and unexpected mach…
cs.AI2026
Flexible Manufacturing Systems Intralogistics: Dynamic Optimization of AGVs and Tool Sharing Using Coloured-Timed Petri Nets and Actor-Critic RL with Actions Masking
Sofiene Lassoued, Laxmikant Shrikant Bahetic, Nathalie WeiÃ-Borkowskib +2
Flexible Manufacturing Systems (FMS) are pivotal in optimizing production processes in today's rapidly evolving manufacturing landscape. This paper advances the traditional job sho…