Beware of Instantaneous Dependence in Reinforcement Learning

Zhengmao Zhu, Yuren Liu, Honglong Tian +2

Playing an important role in Model-Based Reinforcement Learning (MBRL), environment models aim to predict future states based on the past. Existing works usually ignore instantaneo…