Reinforcement learning· 2015
Prioritized Experience Replay
On the reading lists
- #425 in the Top 500 (2026 edition)
- #21 in Reinforcement learning (2026 edition)
Why it matters
Prioritized sampling for experience replay.
Condensed from the expert lists' notes.
The record
- First released
- 2015 (from arXiv 1511.05952)
- Published
- 2016
- Citations
- 4,696 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.370 · computed rank 425 · consensus 0.305, must-read 0.5, citations percentile 0.652 (2010s · reinforcement-learning), awards 0, existing lists 0. Method
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.