Constructing Abstraction Hierarchies Using a Skill-Symbol Loop
Abstract
We describe a framework for building abstraction hierarchies whereby an agent alternates skill- and representation-construction phases to construct a sequence of increasingly abstract Markov decision processes. Our formulation builds on recent results showing that the appropriate abstract representation of a problem is specified by the agent's skills. We describe how such a hierarchy can be used for fast planning, and illustrate the construction of an appropriate hierarchy for the Taxi domain. PDF
Cite
Text
Konidaris. "Constructing Abstraction Hierarchies Using a Skill-Symbol Loop." International Joint Conference on Artificial Intelligence, 2016.Markdown
[Konidaris. "Constructing Abstraction Hierarchies Using a Skill-Symbol Loop." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/konidaris2016ijcai-constructing/)BibTeX
@inproceedings{konidaris2016ijcai-constructing,
title = {{Constructing Abstraction Hierarchies Using a Skill-Symbol Loop}},
author = {Konidaris, George Dimitri},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2016},
pages = {1648-1654},
url = {https://mlanthology.org/ijcai/2016/konidaris2016ijcai-constructing/}
}