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…