Strategic Attentive Writer for Learning Macro-Actions

NeurIPS 2016 AlexanderVezhnevetsVolodymyr MnihJohn AgapiouSimon OsinderoAlex GravesOriol VinyalsKoray Kavukcuoglu

We present a novel deep recurrent neural network architecture that learns to build implicit plans in an end-to-end manner by purely 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... (read more)

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