LATENT REFERENCES / TAG2
deep Q network
Original title: deep Q network
This reference note belongs to Tag2 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Analysis. The note preserves its source text and links so that readers can trace the material behind the 3D map.
- Collection
- Tag2
- Archive region
- Analysis
Archived reference note
English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.
Deep Q-Network is a mathematical model developed by Google's subsidiary DeepMind. Using a deep reinforcement-learning algorithm, agents trained with this model have achieved scores exceeding humans in some video games.
Deep Q-Networkとは、Googleの子会社ディープマインドが開発した数理モデルである。深層強化学習アルゴリズムを利用したもので、このモデルで学習したエージェントは、一部の電子ゲームにおいて人間以上のスコアを獲得できている。
Source updated 2023-07-30 · Snapshot 2026-10-08
Source links and calculated neighbors
Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.
- interpersonal synchronization network 3dComputed lexical cosine similarity 0.112 · shared title, text, tags and references
- ars deep space 8k open callComputed lexical cosine similarity 0.109 · shared title, text, tags and references
- deep web christopher bauderComputed lexical cosine similarity 0.107 · shared title, text, tags and references
- Deep DreamComputed lexical cosine similarity 0.105 · shared title, text, tags and references
- Quantum NISQ AlgorithmsComputed lexical cosine similarity 0.101 · shared title, text, tags and references
- TacotronComputed lexical cosine similarity 0.096 · shared title, text, tags and references
- WavenetComputed lexical cosine similarity 0.092 · shared title, text, tags and references