Model card
DreamerV3.
Google DeepMindopen-sourceWorld Model (Model-Based)
Scalable world model that masters Atari and Minecraft (MineDojo) with fixed hyperparameters.
§ 01 · Benchmarks
Every benchmark DreamerV3 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | MuJoCo | Reinforcement Learning · Continuous Control | average-return | 897.00 | #6 | — | source ↗ |
| 02 | Atari 2600 | Reinforcement Learning · Atari Games | human-normalized-score | 840.00 | #8 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where DreamerV3 actually performs.
§ 04 · Related models
Other Google DeepMind models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
arxiv-paper
2
results
0 of 2 rows marked verified.