The machines gain possibly different utilities by processing different jobs, and alljobs assigned tothesame machine should beprocessed without overlap.

We consider the problem of a mediator learning to coordinate a group of strategic agents via recommendations of actions to take without knowledge of their underlying utility functions (e.g.

Learning generalist embodied agents, able to solve multitudes of tasks in different domains is a long-standing problem.