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]

Abstract

Abstract is missing.