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To make things more interesting, I improved the basic DQN, implementing some variations like **Double Q-learning**, **Dueling networks**, **Multi-step learning** and **Noisy Nets**. You can find them summarized by [Hessel et al.](https://arxiv.org/pdf/1710.02298.pdf)
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### [Learn the theory](../README.md)
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### Double Q-learning - [Paper](https://arxiv.org/pdf/1509.06461.pdf)

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