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[R] Probabilistic Model-Based Reinforcement Learning Using The Differentiable Neural Computer

MSc dissertation (from Summer 2018) on using the Differentiable Neural Computer in the Reinforcement Learning / Evolution Strategies context:

“…experiments found that a model learned in a Differentiable Neural Computer outperformed a vanilla LSTM based model, on two gaming environments.”

Would love to hear your thoughts!

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