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What is Understanding Reinforcement Learning Concepts about?

Reinforcement Learning (RL) involves an agent interacting with an environment to maximize cumulative rewards through exploration and exploitation. It utilizes Markov Decision Processes (MDP) to define states, actions, and policies, with methods like Q-learning and SARSA for policy refinement. Applications of RL span various fields, including autonomous vehicles, trading, real-time decision-making, and dynamic healthcare.

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