  In this paper we are considering a scenario where a team of robot bodyguards
are providing physical protection to a VIP in a crowded public space. We show
that the problem involves a complex mesh of interactions between the VIP and
the robots, between the robots themselves and the robots and the bystanders
respectively. We show how recently proposed multi-agent policy gradient
reinforcement learning algorithms such as MADDPG can be successfully adapted to
learn collaborative robot behaviors that provide protection to the VIP.
