21 citations · 23 across the 4 of their papers we have counts for
4 papers · 1 filter
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling
Arthur Müller, Felix Grumbach, Matthia Sabatelli
Production scheduling is an essential task in manufacturing, with Reinforcement Learning (RL) emerging as a key solution. In a previous work, RL was utilized to solve an extended p…
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning
Arthur Müller, Matthia Sabatelli
Reinforcement Learning (RL) has been widely explored in Traffic Signal Control (TSC) applications, however, still no such system has been deployed in practice. A key barrier to pro…
Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking
Arthur Müller, Matthia Sabatelli
Reinforcement learning (RL) for traffic signal control (TSC) has shown better performance in simulation for controlling the traffic flow of intersections than conventional approach…
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
Arthur Müller, Vishal Rangras, Georg Schnittker +7
Sub-optimal control policies in intersection traffic signal controllers (TSC) contribute to congestion and lead to negative effects on human health and the environment. Reinforceme…