Reinforcement learning· 1999
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
On the reading lists
- #486 in the Top 500 (2026 edition)
- #24 in Reinforcement learning (2026 edition)
Why it matters
Formalized options, enabling temporally extended actions and hierarchical reinforcement learning.
Condensed from the expert lists' notes.
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.