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Description: Research in reinforcement learning focuses on developing methods and applications that allow agents to learn to make decisions through interaction with an environment. This approach is based on the idea that an agent can learn to maximize cumulative reward over time by exploring different actions and observing their consequences. Unlike supervised learning, where labeled […]