论文标题
一些对终身增强学习系统的见解
Some Insights into Lifelong Reinforcement Learning Systems
论文作者
论文摘要
终生增强学习系统是一种学习系统，它具有通过与环境一生中与环境的拖尾相互作用进行学习的能力。在本文中，我提出了一些论点，以表明传统的强化学习范式无法建模这种学习系统。提供了一些对终身增强学习的见解，以及简单化的原型终生增强学习系统。
A lifelong reinforcement learning system is a learning system that has the ability to learn through trail-and-error interaction with the environment over its lifetime. In this paper, I give some arguments to show that the traditional reinforcement learning paradigm fails to model this type of learning system. Some insights into lifelong reinforcement learning are provided, along with a simplistic prototype lifelong reinforcement learning system.
