Reinforcement learning· 2019
Dream to Control: Learning Behaviors by Latent Imagination
On the reading lists
- #31 in Reinforcement learning (2026 edition)
Why it matters
Established efficient policy learning by differentiating through imagined trajectories in latent dynamics models.
Condensed from the expert lists' notes.
The record
- First released
- 2019 (from arXiv 1912.01603)
- Citations
- 2,438 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.310 · computed rank 580 · consensus 0.45, must-read 0, citations percentile 0.5 (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.