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Workshop

Multi-Agent Generative Adversarial Imitation Learning

Jiaming Song · Hongyu Ren · Dorsa Sadigh · Stefano Ermon

East Meeting Level 8 + 15 #19

Tue 1 May, 11 a.m. PDT

We propose a new framework for multi-agent imitation learning for general Markov games, where we build upon a generalized notion of inverse reinforcement learning. We introduce a practical multi-agent actor-critic algorithm with good empirical performance. Our method can be used to imitate complex behaviors in high-dimensional environments with multiple cooperative or competitive agents.

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