Using Graph Neural Networks in Reinforcement Learning: A Practical Guide

Graph Neural Networks (GNNs) have achieved excellent results for modelling relational data in many supervised learning domains. However, much fewer works have explored their potential in Reinforcement Learning (RL) despite the ubiquity of practical problems defined over graphs. In this blog post, we discuss how GNNs can be effectively integrated in Deep RL frameworks, covering crucial design…