October 2018
Intermediate to advanced
368 pages
9h 20m
English
Content preview from Advanced Deep Learning with Keras
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Double Q-Learning (DDQN)
In DQN, the target Q-Network selects and evaluates every action resulting in an overestimation of Q value. To resolve this issue, DDQN [3] proposes to use the Q-Network to choose the action and use the target Q-Network to evaluate the action.
In DQN as summarized by Algorithm 9.6.1, the estimate of the Q value in line 10 is:
Qtarget chooses and evaluates the action a j+1.
DDQN proposes to change line 10 to:
The term 
lets Q to ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.