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Deep Reinforcement Learning: Part2
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Continung on explaining deep reinforcement learning, Prof. Lai first talks about the fundamental problem of Reinforcement Learning, exploration versus exploitation problem.
Then, he tells the Q-learning, which is a common reinforcement learning algorithm. Q-learning is a value-based Reinforcement algorithm, which aims to learn a Q-function that can evaluate the quality of each action or state pair.
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