Robust Reinforcement Learning on Graphs for Logistics optimization. (arXiv:2205.12888v1 [cs.LG])

Logistics optimization nowadays is becoming one of the hottest areas in the
AI community. In the past year, significant advancements in the domain were
achieved by representing the problem in a form of graph. Another promising area
of research was to apply reinforcement learning algorithms to the above task.
In our work, we made advantage of using both approaches and apply reinforcement
learning on a graph. To do that, we have analyzed the most recent results in
both fields and …

arxiv graphs learning logistics optimization reinforcement reinforcement learning