109 citations · 167 across the 3 of their papers we have counts for
3 papers
cs.LG2019
An investigation of model-free planning
Arthur Guez, Mehdi Mirza, Karol Gregor +10
The field of reinforcement learning (RL) is facing increasingly challenging domains with combinatorial complexity. For an RL agent to address these challenges, it is essential that…
cs.LG2016★ 58 cited
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack W Rae, Jonathan J Hunt, Tim Harley +5
Neural networks augmented with external memory have the ability to learn algorithmic solutions to complex tasks. These models appear promising for applications such as language mod…
cs.NE2014★ 109 cited
Neural Turing Machines
Alex Graves, Greg Wayne, Ivo Danihelka
We extend the capabilities of neural networks by coupling them to external memory resources, which they can interact with by attentional processes. The combined system is analogous…