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


  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.


No methods listed for this paper. Add relevant methods here