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An Intuitive Introduction to Reinforcement learning
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Reinforcement learning (RL) is a trial and error form of learning in which an agent acting in a given environment learns to take optimal actions at every state it encounters in such an environment with the ultimate goal to increase/maximize a numerical reward function.
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