The paper presents an agent, the deep Q-network, that learns policies directly from high-dimensional sensory inputs through end-to-end reinforcement learning.
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Human-level control through deep reinforcement learning → states its contribution → The paper presents an agent, the deep Q-network, that learns policies directly from high-dimensional sensory inputs through end-to-end reinforcement learning.
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