Multi-Agent Imitation Learning: Value is Easy, Regret is Hard

Neural Information Processing Systems 

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.

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