Machine Learning

, Volume 28, Issue 1, pp 77–104

CHILD: A First Step Towards Continual Learning

  • Mark B. Ring

DOI: 10.1023/A:1007331723572

Cite this article as:
Ring, M.B. Machine Learning (1997) 28: 77. doi:10.1023/A:1007331723572


Continual learning is the constant development of increasingly complex behaviors; the process of building more complicated skills on top of those already developed. A continual-learning agent should therefore learn incrementally and hierarchically. This paper describes CHILD, an agent capable of Continual, Hierarchical, Incremental Learning and Development. CHILD can quickly solve complicated non-Markovian reinforcement-learning tasks and can then transfer its skills to similar but even more complicated tasks, learning these faster still.

Continual learning transfer reinforcement learning sequence learning hierarchical neural networks 

Copyright information

© Kluwer Academic Publishers 1997

Authors and Affiliations

  • Mark B. Ring
    • 1
  1. 1.Adaptive Systems Research Group, GMD–German National Research Center for Information Technology, Schloß BirlinghovenSankt AugustinGermany

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