In this paper, we investigate the problem of embodied multi-agent
cooperation, where decentralized agents must cooperate given only partial
egocentric views of the world. To effectively plan in this setting, in contrast
to learning world dynamics in a single-agent scenario, we must simulate world
dynamics conditioned on an arbitrary number of agents' actions