Playing Games with AI

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 ...

Task Engine

Some years ago, I was fascinated by the inner workings of the games I played. I already had learned C++, so I set out to find out more about the libraries and techniques specific to graphics programming.

My journey began with NeHe, an excellent series of tutorials for OpenGL beginners. (The lessons are available in many languages, not just C++)

Next, I read up on engine design. Of course, ambitious as I was, I aimed for a fully scalable multi-threaded engine. Had I wanted to create an actual game, this would have led to endless frustration (as ...