Constructing Symbolic Representations for High-Level Planning

George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez

AAAI 2014 pp. 1932-1938

doi:10.1609/AAAI.V28I1.9004 /aaai/2014/konidaris2014aaai-constructing/

Abstract

We consider the problem of constructing a symbolic description of a continuous, low-level environment for use in planning. We show that symbols that can represent the preconditions and effects of an agent's actions are both necessary and sufficient for high-level planning. This eliminates the symbol design problem when a representation must be constructed in advance, and in principle enables an agent to autonomously learn its own symbolic representations. The resulting representation can be converted into PDDL, a canonical high-level planning representation that enables very fast planning.

PDF AAAI Semantic Scholar

Cite

Text

Konidaris et al. "Constructing Symbolic Representations for High-Level Planning." AAAI Conference on Artificial Intelligence, 2014. doi:10.1609/AAAI.V28I1.9004

Markdown

[Konidaris et al. "Constructing Symbolic Representations for High-Level Planning." AAAI Conference on Artificial Intelligence, 2014.](https://mlanthology.org/aaai/2014/konidaris2014aaai-constructing/) doi:10.1609/AAAI.V28I1.9004

BibTeX

@inproceedings{konidaris2014aaai-constructing,
  title     = {{Constructing Symbolic Representations for High-Level Planning}},
  author    = {Konidaris, George Dimitri and Kaelbling, Leslie Pack and Lozano-Pérez, Tomás},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2014},
  pages     = {1932-1938},
  doi       = {10.1609/AAAI.V28I1.9004},
  url       = {https://mlanthology.org/aaai/2014/konidaris2014aaai-constructing/}
}