Historical milestone · 2019
PlaNet
Reviewed through September 18, 2026
2019 · Historical milestone
PlaNet
- Era
- 2010s
- Theme
- Embodied AI & world models
- Evidence form
- Algorithm + simulated control
- School / paradigm
- Latent dynamics / model-based control
- Institution / context
- Google Brain
- Researchers
- Danijar Hafner; Timothy Lillicrap; Ian Fischer; Mohammad Norouzi
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Learned latent dynamics from pixels and planned online in the learned state space.
Result / historical claim. Improved data efficiency on continuous-control benchmarks without requiring reward-specific model learning.
Apply
Professional implication, only where the reviewed record states one.
The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: Embodied AI and world models.
Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. Algorithm + simulated control
Limitation / debate. Short planning horizons, simulated environments, and model bias limited generalization.
Source status. The source link below is the verified link our reviewed topic research already carries for this milestone.
Reproduce
A reproduction tutorial is linked only when one exists for this exact record.
A reproduction tutorial is not yet available for this entry. The closest reviewed material is Embodied AI and world models.
Cite or share
APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.
BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.