2016
Strategic Attentive Writer for Learning Macro-Actions
NeurIPS 2016poster
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…