Using Relative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning

Cite

Text

Simsek and Barto. "Using Relative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning." International Conference on Machine Learning, 2004. doi:10.1145/1015330.1015353

Markdown

[Simsek and Barto. "Using Relative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning." International Conference on Machine Learning, 2004.](https://mlanthology.org/icml/2004/simsek2004icml-using/) doi:10.1145/1015330.1015353

BibTeX

@inproceedings{simsek2004icml-using,
  title     = {{Using Relative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning}},
  author    = {Simsek, Özgür and Barto, Andrew G.},
  booktitle = {International Conference on Machine Learning},
  year      = {2004},
  doi       = {10.1145/1015330.1015353},
  url       = {https://mlanthology.org/icml/2004/simsek2004icml-using/}
}