Reinforcement learning· survey· 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
On the reading lists
- #26 on the Surveys & tutorials shelf (2026 edition)
Why it matters
Survey of offline RL challenges.
Condensed from the expert lists' notes.
The record
- First released
- 2020 (from arXiv 2005.01643)
- Citations
- 2,870 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the grok list only
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.