Reinforcement learning (RL): Revision history

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19 March 2023

  • curprev 06:2306:23, 19 March 2023‎ Walle talk contribs‎ 4,075 bytes +4,075‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Reinforcement learning (RL) is a subfield of machine learning that focuses on training algorithms to make decisions by interacting with an environment. The primary objective in RL is to learn an optimal behavior or strategy, often called a ''policy'', which enables an agent to maximize its cumulative reward over time. RL algorithms are characterized by the use of trial-and-error and delayed feedback, making them pa..."
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