Some cool images of “masks” generated by a BigGAN model using a high truncation threshold which lets us control the variety of the images. They were generated on this demo page, with a model that was already trained for me. The paper introducing the truncation threshold (or truncation trick) is “Large Scale GAN Training for High … Continue reading An Exploration of BigGAN’s Truncation Threshold to Create Artistic (Horrific?) Images of Masks
This report summarizes the StarCraft AI Workshop held at the IT University of Copenhagen, January 20-21 2018. The purpose of this workshop was to bring together students and researchers with interests in AI and Machine Learning in StarCraft, and together explore the new StarCraft 2 Learning Environment (SC2LE). This report contains an overview of the event … Continue reading Report from StarCraft AI Workshop at ITU (January 2018)
This blog post will introduce you to the StarCraft 2 Learning Environment (SC2LE) and is written for the StarCraft AI Workshop at the IT University in Copenhagen January 20th – 21st 2018. This guide heavily relies on existing guides, documentation and papers, and simply points you in good directions. First of all, if you are … Continue reading Getting Started with the StarCraft 2 Learning Environment
We have tested a new version of our StarCraft bot against some skilled StarCraft players. These games were exciting to watch, especially because our bot used a neural network for build order planning. Videos showing two of these matches are included. A Simple StarCraft Bot A few month ago, I decided to develop a StarCraft … Continue reading A Neural Network-based StarCraft Bot Plays against Humans
I will use this website to write about my research and maintain a list of my publications and public datasets. I brief introduction to what I do: At the IT University of Copenhagen I am investigating how deep learning in combination with online evolutionary planning can be used to play strategy games. My focus so … Continue reading Welcome to my website!