The concept of reinforcement learning (RL) can be described as a type of machine learning where an agent is taught to make choices by interfacing with its environment, gaining feedback in the form of penalties or rewards and then improving its behavior in the course of time. Contrary to supervised learning where the model is taught by analyzing data that is labeled, RL focuses on learning by...
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