Policy Optimization with Demonstrations

Bingyi Kang, Zequn Jie, Jiashi Feng

Abstract: Exploration remains a significant challenge to reinforcement learning methods, especially in environments where reward signals are sparse. Recent methods of learning from demonstrations have shown ...