106 citations · 106 across the 2 of their papers we have counts for
2 papers
cs.AI2020
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling
Dano Roost, Ralph Meier, Stephan Huschauer +4
We present preliminary results from our sixth placed entry to the Flatland international competition for train rescheduling, including two improvements for optimized reinforcement…
cs.LG2019★ 106 cited
Automated Machine Learning in Practice: State of the Art and Recent Results
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach +4
A main driver behind the digitization of industry and society is the belief that data-driven model building and decision making can contribute to higher degrees of automation and m…