ML Anthology

Representation Transfer via Elaboration

Matthew E. Taylor, Peter Stone
AAAI 2007 pp. 1906-1907
/aaai/2007/taylor2007aaai-representation/

Abstract

A key component of any reinforcement learning (RL) algo-rithm is the underlying representation used by the agent for learning (e.g. the parameterization of its function approxima-tor). Transfer learning tasks typically look at speeding up a

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Text

Taylor and Stone. "Representation Transfer via Elaboration." AAAI Conference on Artificial Intelligence, 2007.

Markdown

[Taylor and Stone. "Representation Transfer via Elaboration." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/taylor2007aaai-representation/)

BibTeX

@inproceedings{taylor2007aaai-representation,
  title     = {{Representation Transfer via Elaboration}},
  author    = {Taylor, Matthew E. and Stone, Peter},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2007},
  pages     = {1906-1907},
  url       = {https://mlanthology.org/aaai/2007/taylor2007aaai-representation/}
}