Friday, February 7, 2014

DeepMind Papers

There has been a lot of talk about Google's acquisition of DeepMind. I won't try to review the facts for those who don't know about it-- there's got to be about 100 roughly identical news articles you can find. What those news articles only rarely include is a link to DeepMind's research publications; and as far as I've seen, only to the paper on playing Atari games using model-free RL. (Maybe it's the most public-friendly.) Before the news broke, I didn't even know that DeepMind was putting out any information on what they were doing; their very blank company website made me think they were being hush-hush.

So. For the curious, here are all the papers I could find which include at least one author

Deep Autoregressive Networks

Playing Atari with Deep Reinforcement Learning

Neural Variational Inference and Learning in Belief Networks

Unit Tests for Stochastic Optimization

An Approximation of the Universal Intelligence Measure

Stochastic Back-Propagation and Variational Inference in Deep Latent Gaussian Models

Unsupervised Feature Learning by Deep Sparse Coding

Deterministic Policy Gradient Algorithms

Bayesian Hierarchical Community Discovery

Learning Word Embeddings Efficiently with Noise-Contrastic Estimation


  1. These papers and a few more can be found on scopus (use deepmind in author field):

    Natural evolution strategies
    An approximation of the universal intelligence measure

    Thanks for the list by the way. I was also interested to see what they are doing.

  2. There is this page now: