EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning

Neural Information Processing Systems 

Multi-agent interacting systems are prevalent in the world, from purely physical systems to complicated social dynamic systems. In many applications, effective understanding of the situation and accurate trajectory prediction of interactive agents play a significant role in downstream tasks, such as decision making and planning.