Featured Highlights

Games of the Year: The 2014 AiGameDev.com Awards for Game AI
Open Editorial December 31st, 2014

Games of the Year: The 2014 AiGameDev.com Awards for Game AI

Every year AiGameDev.com hosts the Awards for Game AI, shining the spotlight on the best releases of the past twelve months. There are six different awards, ranging from technology to design and of course overall game of the year.

How To Train Your Neural Network: A Python Guide
Insider Broadcast April 2nd, 2015

How To Train Your Neural Network: A Python Guide

Using Python is one of the simplest ways to get started with deep learning and neural networks. This tutorial will show you how you can get up and running with PyLearn2 via a simple wrapper library, and the various issues and questions you need to be considering in practice to get things working efficiently and reliably.

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Deep Gabe: Machine Learning from Steam Data with Neural Networks
Premium Presentation March 17th, 2015

Deep Gabe: Machine Learning from Steam Data with Neural Networks

Over the past few years, deep learning has revolutionized the technology sector by providing significantly better results on classification or prediction problems that were previously impractical for machine learning. What are the benefit for game developers? What's the catch? This presentation is a practical introduction to deep neural networks, using millions of public player profiles and thousands of games ...

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Premium Release March 28th, 2015

Bonus: A Flanking Opportunity in The AI Sandbox

Bonus: A Flanking Opportunity in The AI Sandbox

Keen to experiment with tactical pathfinding? The source code for the flanking tutorial is now available, along with bonus access to The AI Sandbox. You'll find a grid-based tactical pathfinder as well as one based on a corridor map, written in Python with extensive comments.

Premium Tutorial March 4th, 2015

To Infinity (and NaN?) with Deep Reinforcement ...

To Infinity (and NaN?) with Deep Reinforcement Learning in PlanetWars

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 ...

Insider Masterclass Oct 7th, 2014

ACME Corporation’s Detailed Guide to Explosive ...

ACME Corporation’s Detailed Guide to Explosive Game AI Research

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 ...

Open Coverage August 12th, 2014

Monte-Carlo Tree Search in TOTAL WAR: ROME II's ...

Monte-Carlo Tree Search in TOTAL WAR: ROME II's Campaign AI

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 ...

Open Upcoming June 6th, 2014

Challenges in AI for Games: Speaker Spotlight for ...

Challenges in AI for Games: Speaker Spotlight for Game/AI Conf. 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.

Insider Interview April 30th, 2013

The CTF Winners' Secrets

The CTF Winners' Secrets

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.


  • SpirOps AI
  • PathEngine
  • Havok