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AlphaDev is an artificial intelligence system developed by Google DeepMind to discover enhanced computer science algorithms using reinforcement learning. AlphaDev is based on AlphaZero, a system that mastered the games of chess, shogi and go by self-play. AlphaDev applies the same approach to finding faster algorithms for fundamental tasks such as…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| AlphaDev | Developer(s) | DeepMind | 1.00 | infobox |
| AlphaDev | Type | Reinforcement learning | 1.00 | infobox |
| AlphaDev | is a | artificial intelligence system developed by Google DeepMind to discover enhanced computer science algorithms using reinforcement learning | 0.90 | text |
| AlphaDev | is a | extension of AlphaZero.Encoding assembly programming into a gameIn order to use AlphaZero on assembly programming | 0.90 | text |
| sorting | instance of | AlphaDev applies the same approach to finding faster algorithms for fundamental tasks | 0.80 | text |
| hashing | instance of | AlphaDev applies the same approach to finding faster algorithms for fundamental tasks | 0.80 | text |
| Go | instance of | the reinforcement-learning model that DeepMind trained to master games | 0.80 | text |
| chess | instance of | the reinforcement-learning model that DeepMind trained to master games | 0.80 | text |
| AlphaDev | related to Algorithm | The | 0.60 | section |
| AlphaDev | related to Algorithm | AlphaZero | 0.60 | section |
| AlphaDev | related to Comparison with logical AI approach | The AlphaDev's | 0.60 | section |
| AlphaDev | related to Comparison with logical AI approach | AI | 0.60 | section |
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