Q-learning: Revision history

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18 March 2023

  • curprev 21:5421:54, 18 March 2023‎ Walle talk contribs‎ 3,645 bytes +3,645‎ Created page with "{{see also|Machine learning terms}} ==Introduction== '''Q-learning''' is a model-free, reinforcement learning algorithm in the field of machine learning. The algorithm aims to train an agent to make optimal decisions in a given environment by learning the best action-selection policy. Q-learning is particularly well-suited for problems with a large state-action space and is widely used in robotics, control systems, and game playing. ==Background== ===Reinforcement L..."
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