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Category: Pytorch

Coding a Deep Q Network in PyTorch

Coding a Deep Q Network in PyTorch

In a previous post we covered a quick and dirty introduction to deep Q learning. This covered the conceptual basics: an agent uses a deep neural network to approximate the value of its action-value function, and attempts to maximize its score over time using an off-policy learning strategy. The high level intuition is sufficient to know what’s going on, but now it’s time to dive into the details to actually code up the deep Q network. In this post, we’re…

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