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Reinforcement learning: the future of machine learning
Reinforcement learning is a method of machine learning in which an agent learns to fulfil a specific task by interacting with its environment. The agent receives rewards or punishments for its actions, enabling it to optimise its actions and achieve goals. This method is based on the principle of trial and error, in which the agent learns to make optimal decisions through experience. Reinforcement learning has become increasingly popular in recent years due to its wide range of applications and [...]
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