Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting

Vincent Létourneau, Colin Bellinger, Isaac Tamblyn, Maia Fraser. Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting. In Sarath Chandar, Razvan Pascanu, Hanie Sedghi, Doina Precup, editors, Conference on Lifelong Learning Agents, 22-25 August 2023, McGill University, Montréal, Québec, Canada. Volume 232 of Proceedings of Machine Learning Research, pages 470-480, PMLR, 2023. [doi]

@inproceedings{LetourneauBTF23,
  title = {Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting},
  author = {Vincent Létourneau and Colin Bellinger and Isaac Tamblyn and Maia Fraser},
  year = {2023},
  url = {https://proceedings.mlr.press/v232/letourneau23a.html},
  researchr = {https://researchr.org/publication/LetourneauBTF23},
  cites = {0},
  citedby = {0},
  pages = {470-480},
  booktitle = {Conference on Lifelong Learning Agents, 22-25 August 2023, McGill University, Montréal, Québec, Canada},
  editor = {Sarath Chandar and Razvan Pascanu and Hanie Sedghi and Doina Precup},
  volume = {232},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}