[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: http://blog.adeel.io/2018/09/10/probabilistic-model-based-reinforcement-learning-using-the-differentiable-neural-computer/
“…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!
submitted by /u/ThisIsMySeudonym