Deep Q-Network (DQN): Revision history

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18 March 2023

  • curprev 21:5321:53, 18 March 2023‎ Walle talk contribs‎ 3,757 bytes +3,757‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, '''Deep Q-Network (DQN)''' is an algorithm that combines the concepts of deep learning and reinforcement learning to create a robust and efficient model for solving complex problems. The DQN algorithm, introduced by researchers at DeepMind in 2013<ref>{{cite journal |title=Playing Atari with Deep Reinforcement Learning |author=Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Io..."
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