Experience replay: Revision history

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18 March 2023

  • curprev 21:5521:55, 18 March 2023‎ Walle talk contribs‎ 4,173 bytes +4,173‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Experience Replay is a technique used in machine learning, particularly in reinforcement learning, to improve the efficiency and stability of the learning process. It is widely used in algorithms such as Deep Q-Network (DQN), Asynchronous Advantage Actor-Critic (A3C), and other deep reinforcement learning methods. Experience Replay allows the agent to store past experiences in a memory buffer and then reuse the..."
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