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Deep Q-Networks (DQN) Explained (with visuals)
Deep Q-Networks (DQN) combined neural networks with Q-Learning to beat humans at dozens of Atari games, using only raw pixels as input. But replacing a Q-table with a neural network introduces two major problems: correlated samples and moving targets. Welcome back to Deep RL Decoded series. In this video, you'll learn 1) how DQN's architecture ...
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