Off-Policy Imitation Learning from Observations

Zhuangdi Zhu, Kaixiang Lin, Bo Dai +1

Learning from Observations (LfO) is a practical reinforcement learning scenario from which many applications can benefit through the reuse of incomplete resources. Compared to conv…