Lionel Blondé

Sample-Efficient Imitation Learning via Generative Adversarial Nets

2018 · arXiv (Cornell University)

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 …

Relational Mimic for Visual Adversarial Imitation Learning

2019 · arXiv (Cornell University)

In this work, we introduce a new method for imitation learning from video demonstrations. Our method, Relational Mimic (RM), improves on previous visual imitation learning methods by combining generative adversarial networks and relational learning. RM …