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 ...
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 work!
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 building AI for board/card games, find out more in this broadcast!
How are server-based AI systems built for modern free-to-play shooters? This interview with Dmytro Tsakhilov of Crytek Kiev, you'll hear about the implementation of WARFACE's enemy behaviors that populate the game's co-op mode. You'll also learn about the underlying systems built to run scalably on the game's servers.
The last time neural networks were popular it was the early 90s! What has changed since then and how come modern NN can solve the hardest problems now? This is an introduction presentation about neural network technology from the low-level representation to the training algorithms, with a particular focus on the recent advances in the field as well as game applications.