Reinforcement Learning | Deep Learning

Описание к видео Reinforcement Learning | Deep Learning

Reinforcement Learning (RL) is a branch of machine learning where an agent learns to make decisions by interacting with an environment to maximize some notion of cumulative reward. Unlike supervised learning, where the model is trained on a labeled dataset, RL focuses on learning through trial and error, using feedback from its own actions and experiences in the environment.

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