Some Insights into Lifelong Reinforcement Learning Systems

27 Jan 2020  ·  Changjian Li ·

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. read more

PDF Abstract

Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here