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

Jingwu Tang, Gokul Swamy, Fei Fang +1

We study a multi-agent imitation learning (MAIL) problem where we take the perspective of a learner attempting to coordinate a group of agents based on demonstrations of an expert…