Publications

The second version of our survey paper on Deep Learning for Video Game Playing is out. Please send us feedback to njustesen@gmail.com.

2018

Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager, Ahmed Khalifa, Julian Togelius, and Sebastian Risi.
To appear in: NeurIPS Workshop on Deep Reinforcement Learning, 2018.

Blood Bowl: The Next Board Game Challenge for AI
Niels Justesen, Sebastian Risi, and Julian Togelius.
Foundations of Digital Games 2018, ACM, 2018. (Short paper).

Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen and Sebastian Risi.
Computational Intelligence and Games (CIG). IEEE, 2018.

2017

Playing Multi-Action Adversarial Games: Online Evolution vs. Tree Search
Niels Justesen, Tobias Mahlmann, Sebastian Risi, and Julian Togelius.
IEEE Transactions on Computational Intelligence and AI in Games (TCIAIG). IEEE, 2017.

Learning Macromanagement in StarCraft from Replays using Deep Learning
Niels Justesen and Sebastian Risi.
Computational Intelligence and Games (CIG). IEEE, 2017.

Continual Online Evolutionary Planning for In-Game Build Order Adaptation in StarCraft
Niels Justesen and Sebastian Risi.
Conference on Genetic and Evolutionary Computation (GECCO). ACM, 2017.

2016

Online Evolution for Multi-Action Adversarial Games
Niels Justesen, Tobias Mahlmann, and Julian Togelius.
European Conference on the Applications of Evolutionary Computation. Springer International Publishing, 2016.

2014

Script-and Cluster-Based UCT for StarCraft
Niels Justesen, Bálint Tillman, Julian Togelius, and Sebastian Risi.
Computational Intelligence and Games (CIG). IEEE, 2014.

Master’s Thesis (2015)

Artificial Intelligence for Hero Academy

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