most citedFlexible Manufacturing Systems Intralogistics: Dynamic Optimization of AGVs and Tool Sharing Using Coloured-Timed Petri Nets and Actor-Critic RL with Actions Masking

3 citations · 3 across the 3 of their papers we have counts for

collaborators

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★ 3 cited

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 Weiß-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…