Sample-Efficient Imitation Learning via Generative Adversarial Nets

6 Sep 2018Lionel BlondéAlexandros Kalousis

GAIL is a recent successful imitation learning architecture that exploits the adversarial training procedure introduced in GANs. Albeit successful at generating behaviours similar to those demonstrated to the agent, GAIL suffers from a high sample complexity in the number of interactions it has to carry out in the environment in order to achieve satisfactory performance... (read more)

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