Science of machine learning where a user gets positive and negative feedback is called as
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Science of machine learning where a user gets positive and negative feedback is called as reinforcement learning, or even deep reinforcement learning
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"Science of machine learning" where a user gets "positive and negative feedback" is called as "reinforcement learning" or "deep reinforcement learning". It is a type of machine learning algorithm used to construct software agents that can take actions in a given environment to maximize some kind of cumulative reward. This reward is a positive or a negative feedback provided by the environment. "Reinforcement learning" is a process of how a software agent learns about a "new situation, take action, and observe the behavior" of the environment to learn from it accordingly.
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