Project AURIONAI Use-Cases Research & Innovation
world modelfamily

Dreamer

Model-based RL world-model agents by Hafner et al.

Google DeepMind
Levelfamily
Classworld model
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onnot in the notes
Statusactive

Lineage

Google DeepMindDreamer 4 belongs to this familyworld modelSep 2025
Google DeepMindDreamerV3 belongs to this familyworld model2 Apr 2025
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Google DeepMind
Family
not in the notes
Released
– sources
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
not in the notes
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
not in the notes
Output
not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. Mastering diverse control tasks through world models - Nature nature.com https://www.nature.com/articles/s41586-025-08744-2
  2. Training Agents Inside of Scalable World Models danijar.com https://danijar.com/project/dreamer4/

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Dreamer", https://aurion.semai.id/models/google-deepmind-dreamer/, records of October 2026.