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Differentiable neural computer

A differentiable neural computer (DNC) combines the learning and pattern-recognition strengths of deep neural networks with the ability to retain… 
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Artificial intelligence
Artificial neural networkComputer memoryData structureDeep learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer
We propose a lifelong learning architecture, the Neural Computer Agent (NCA), where a Reinforcement Learning agent is paired with… 
2019
2019
Neural networks with external dynamic memory to solve algorithmic problems
We developed a Differentiable Neural Computer and studied its architecture, characteristics, and capabilities. We tested the DNC… 
2018
2018
An Improved Differential Neural Computer Model Using Multiplicative LSTM
Artificial neural networks excel at doing specific tasks like image recognition, sequence learning, machine translation. But, the… 
2018
2018
Development of Werewolf-game Agent Using Differentiable Neural Computer
Kyoto Institute of Technology Werewolf-game is a table game with imperfect information. It is a new challenge for artificial… 
2018
2018
Selbstlernende autonome Systeme?: Medientechnologische und medientheoretische Bedingungen am Beispiel von Alphabets Differentiable Neural Computer (DNC)
2017
2017
Learning Simpler Language Models with the Delta Recurrent Neural Network Framework
Learning useful information across long time lags is a critical and difficult problem for temporal neural models in tasks like… 
2017
2017
Convolutional-Match Networks for Question Answering
In this paper, we present a simple, yet effective, attention and memory mechanism that is reminis- cent of Memory Networks and we… 
2017
2017
Supercomputer Simulation of Quantum Computers
A team of researchers at Google's DeepMind Technologies has been working on a means to increase the capabilities of computers by… 
2016
2016
Symbolic Reasoning with Differentiable Neural Comput
Recent breakthroughs demonstrate that neural networks are remarkably adept at sensory 8 processing1 and sequence2, 3 and… 
2016
2016
Google DeepMind Neural Networks
A team of researchers at Google's DeepMind Technologies has been working on a means to increase the capabilities of computers by… 
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