3 papers
eess.SY2026
Distributed Model Predictive Control with Adaptive Safety Zones for Multi-Fleet Drone Operations
Linda Mümken, Diyar Altinses, Michael Schwung +2
Autonomous drone swarms in space-constrained environments such as warehouses, inspection corridors, and urban delivery routes must share limited airspace safely at high vehicle den…
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…