Model card
DQN (Human-level).
DeepMindopen-sourceDeep Q-Network (CNN)
The breakthrough paper (Nature 2015) that started the Deep RL revolution.
§ 01 · Benchmarks
Every benchmark DQN (Human-level) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Atari 2600 | Reinforcement Learning · Atari Games | human-normalized-score | 79.0% | #12 | — | 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 DQN (Human-level) actually performs.
§ 04 · Related models
Other DeepMind models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
nature-paper
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result
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