Playing Games with AI

[cached]Playing Atari with Deep Reinforcement Learning is certainly the most catchy paper I've read in years. But before I start talking about the paper, you should definitely watch this video from it's presentation:

The basic idea is very simple - to train and evaluate the AI, let it play a variety of computer games. This has several advantages:

• Training and Evaluation can happen faster than real time
• Using several very different games can prevent over-fitting
• Games are usually created to be challenging for humans, thus containing an implicit requirement for intelligence.

DeepMind achieves this by letting it's Deep Reinforcement Learning …

Towards General Artificial Intelligence

I you haven't slept under a rock for the past months you've surely heard of Google's acquisition of DeepMind, an AI company that is still quite young. For general facts about them I'll just refer you to Wikipedia or the usual news articles, but much more interestingly they've actually published quite a few papers about their methodology:

• [cached]Neural Variational Inference and Learning in Belief Networks
• [cached]Stochastic Back-Propagation and Variational Inference in Deep Latent Gaussian Models
• [cached]Deep Autoregressive Networks
• [cached]Unit Tests for Stochastic Optimization
• [cached]Deterministic Policy Gradient Algorithms
• [cached]Unsupervised Feature Learning by Deep Sparse Coding …