Robotics· 2018
Learning Dexterous In-Hand Manipulation
On the reading lists
- #287 in the Top 500 (2026 edition)
- #15 in Robotics (2026 edition)
Why it matters
Demonstrated sim-to-real deep reinforcement learning for complex multi-finger manipulation.
Condensed from the expert lists' notes.
The record
- First released
- 2018 (from arXiv 1808.00177)
- Citations
- 2,350 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.455 · computed rank 287 · consensus 0.62, must-read 0.5, citations percentile 0.625 (2010s · robotics), 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.