オープンデータ関連のニュースです。
日本語
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English
Google’s DeepMind has been playing video games on the Atari since 2014, and it got pretty good too, beating human scores. The problem was, it couldn’t remember how it did it. So, every time a new Atari game was introduced, a new neural network was created, but in doing this, the AI could never benefit from its own learned experiences. However, a group of researchers from DeepMind in collaboration with those at Imperial College London has been busy creating an algorithm that could change all that. The new algorithm allows the AI to learn, retain, and then reuse the knowledge that it learns. This is done through the use of supervised learning and reinforcement learning tests. For humans, the basis for continual learning is synaptic consolidation.
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