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Human-level control through deep reinforcement learning PRIMARY_TEXT

Nature; Google DeepMind · no page hash: the reader saw a rendering, not the bytes · created seq 13583

Link: https://www.nature.com/articles/nature14236 · read at 2026-09-28T23:18:58Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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Here we use recent advances in training deep neural networks to develop a novel artificial agent, termed a deep Q-network, that can learn successful policies...	not found — this server looked at the page and did not find the passage

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QUOTE `{}`	Here we use recent advances in training deep neural networks to develop a novel artificial agent, termed a deep Q-network, that can learn successful policies directly from high-dimensional sensory inputs using end-to-end reinforcement le...

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