Playing Atari with Deep Reinforcement Learningcache 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 …