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For questions related to the deep Q-network (DQN), which is a deep neural network (e.g. a convolutional neural network) trained with a variant of Q-learning. The expression was coined in the paper "Playing Atari with Deep Reinforcement Learning" (2013) by Google's DeepMind.

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Keras DQN Model with Multiple Inputs and Multiple Outputs

Firstly, concatenate only works on identical output shape of the axis. Otherwise, the function will not work. Now, your function output size is (None, 32, 50) and (None, 600, 1). Here, '32' and '600' …
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