March 4th, 2015
This tutorial with Spyridon Samothrakis will cover the techniques and tricks for applying Reinforcement Learning using Neural Networks, particularly to the problem of PlanetWars. You'll learn the different approaches for solving the problem, what needs to be done for it to work at all, and how best to tear your hair out when it doesn't ...
February 24th, 2015
This tutorial will show you how to write bots for The Resistance that are both intelligent and chatty! In particular, you'll learn about building bots that are able to run searches to determine the best course of action, as well as how to use text-to-speech (TTS) and speech-to-text facilities in the framework. If you're curious about ...
Oct 7th, 2014
A masterclass for new research students in the field of Game AI. What's the state of the art in the various fields of applied AI in games, and how do you identify/approach research opportunities? In particular, you'll learn about Character Behavior, Intelligent Games, Design Tools, Hardware Devices and Game Analytics. Make sure you're at ...
August 12th, 2014
Monte-Carlo Tree Search is a powerful AI algorithm that was recently discovered and in the past years has found great success in board games. This year, MCTS finally hit the AAA games industry, specifically thanks to Creative Assembly's TOTAL WAR: ROME II. Find out more about the design motivations for using the algorithm, how it was ...
June 6th, 2014
As the industry innovates and games improve, the challenges that AI programmers face also evolve significantly. Issues like scaling up content creation, modernising gameplay for casual audiences, dealing with procedural levels, managing large scale emergent AI, leveraging and improving existing codebases, etc.
April 30th, 2013
Our Capture The Flag Competition over at AiSandbox.com saw a couple of fierce and exciting battles. We have asked our top scorers Alexander Shafranov, Traffic Jam, and Thomas Dupuis to share with us what they thought their commander is particularly good at. Here is what they have told us.