Simon Hirlaender

1. Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL
   2020/12/17 by Simon Hirlaender, Niky Bruchon, Hirlaender, Simon +1 · 2 citations
   Decision Sciences · Engineering · Physics and Astronomy · #Accelerator Physics (physics.acc-ph) #Advancements in Semiconductor Devices and Circuit Design #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #I.2 #J.2 #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Scientific Computing and Data Management #Systems and Control (eess.SY) #electronic engineering #information engineering
2. Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control
   2025/05/12 by Georg Schäfer, Schäfer, Georg, R. L. Seliger +7 · 1 citation
   Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Building Energy and Comfort Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering