CHILD: A First Step Towards Continual Learning
Abstract
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.
Cite
Text
Ring. "CHILD: A First Step Towards Continual Learning." Machine Learning, 1997. doi:10.1023/A:1007331723572Markdown
[Ring. "CHILD: A First Step Towards Continual Learning." Machine Learning, 1997.](https://mlanthology.org/mlj/1997/ring1997mlj-child/) doi:10.1023/A:1007331723572BibTeX
@article{ring1997mlj-child,
title = {{CHILD: A First Step Towards Continual Learning}},
author = {Ring, Mark B.},
journal = {Machine Learning},
year = {1997},
pages = {77-104},
doi = {10.1023/A:1007331723572},
volume = {28},
url = {https://mlanthology.org/mlj/1997/ring1997mlj-child/}
}