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Which of the following best describes the relationship between Reinforcement Learning ( RL ) and Markov Decision Processes ( MDPs ) ? Group of answer
Which of the following best describes the relationship between Reinforcement Learning RL and Markov Decision Processes MDPs
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RL is a subset of MDPs focusing specifically on learning optimal policies for decisionmaking tasks.
RL and MDPs are independent concepts, each addressing different aspects of decisionmaking problems.
RL and MDPs are equivalent terms, used interchangeably to describe the same concept in different contexts
MDPs are a subset of RL providing a formal framework for defining decisionmaking problems.
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