Mingqi Yuan

Hybrid Adversarial Imitation Learning.

2021 · arXiv (Cornell University)

Extrapolating beyond-demonstrator (BD) performance through the imitation learning (IL) algorithm aims to learn from and outperform the demonstrator. Most existing BDIL algorithms are performed in two stages by first inferring a reward function before learning …