# Some Insights into Lifelong Reinforcement Learning Systems

**Authors:** Changjian Li  
**arXiv:** [2001.09608](https://arxiv.org/abs/2001.09608)  
**Date:** 2020-01-27  
**Summary page:** https://www.summarizepaper.com/fr/paper/2001.09608v1/

## Abstract

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.