论文标题
通过人类建议进行加强学习：一项调查
Reinforcement learning with human advice: a survey
论文作者
论文摘要
在本文中，我们概述了将人类建议纳入强化学习过程的现有方法。我们首先提出了可以提供给学习代理的不同形式建议的分类学。然后，我们描述当没有事先确定其含义时可用于解释建议的方法。最后，我们回顾了将建议整合到学习过程中的不同方法。
In this paper, we provide an overview of the existing methods for integrating human advice into a Reinforcement Learning process. We first propose a taxonomy of the different forms of advice that can be provided to a learning agent. We then describe the methods that can be used for interpreting advice when its meaning is not determined beforehand. Finally, we review different approaches for integrating advice into the learning process.
