Model card
MEME.
Google DeepMindopen-sourceMemory-Based Exploration Agent (Agent57 variant)
First agent to reach human-level on all 57 Atari games within 390M frames (200x more efficient than Agent57)
§ 01 · Benchmarks
Every benchmark MEME has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Atari 2600 | Reinforcement Learning · Atari Games | human-normalized-score | 4087.00 | #4 | — | 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.
§ 04 · Related models
Other Google DeepMind models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
unknown
1
result
0 of 1 rows marked verified.