Strategic Attentive Writer for Learning Macro-Actions

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), 2016.

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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We present a novel deep recurrent neural network architecture that learns to build implicit plans in an end-to-end manner purely by interacting with an environment in reinforcement learning setting. The network builds an internal plan, which is continuously updated upon observation of the next input from the environment. It can also parti...More

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