| Deep learning for video game playing N Justesen, P Bontrager, J Togelius, S Risi IEEE Transactions on Games 12 (1), 1-20, 2019 | 356 | 2019 |
| Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation N Justesen, RR Torrado, P Bontrager, A Khalifa, J Togelius, S Risi arXiv preprint arXiv:1806.10729, 2018 | 239 | 2018 |
| Bootstrapping conditional gans for video game level generation RR Torrado, A Khalifa, MC Green, N Justesen, S Risi, J Togelius 2020 IEEE Conference on Games (CoG), 41-48, 2020 | 122 | 2020 |
| Learning macromanagement in starcraft from replays using deep learning N Justesen, S Risi 2017 IEEE Conference on Computational Intelligence and Games (CIG), 162-169, 2017 | 92 | 2017 |
| Script-and cluster-based UCT for StarCraft N Justesen, B Tillman, J Togelius, S Risi 2014 IEEE conference on computational intelligence and games, 1-8, 2014 | 58 | 2014 |
| Continual Online Evolutionary Planning for In-Game Build Order Adaptation in StarCraft N Justesen, S Risi | 44 | 2017 |
| Online evolution for multi-action adversarial games N Justesen, T Mahlmann, J Togelius Applications of Evolutionary Computation: 19th European Conference …, 2016 | 43 | 2016 |
| Playing multiaction adversarial games: Online evolutionary planning versus tree search N Justesen, T Mahlmann, S Risi, J Togelius IEEE Transactions on Games 10 (3), 281-291, 2017 | 42 | 2017 |
| Procedural level generation improves generality of deep reinforcement learning N Justesen, RR Torrado, P Bontrager, A Khalifa, J Togelius, S Risi arXiv preprint arXiv:1806.10729, 2018 | 39 | 2018 |
| Automated curriculum learning by rewarding temporally rare events N Justesen, S Risi 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018 | 34 | 2018 |
| Map-elites for noisy domains by adaptive sampling N Justesen, S Risi, JB Mouret Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 31 | 2019 |
| Illuminating generalization in deep reinforcement learning through procedural level generation. arXiv N Justesen, R Torrado, P Bontrager, A Khalifa, J Togelius, S Risi Learning 9, 2018 | 31 | 2018 |
| Blood bowl: A new board game challenge and competition for ai N Justesen, LM Uth, C Jakobsen, PD Moore, J Togelius, S Risi 2019 IEEE conference on Games (CoG), 1-8, 2019 | 28 | 2019 |
| Capturing local and global patterns in procedural content generation via machine learning V Volz, N Justesen, S Snodgrass, S Asadi, S Purmonen, C Holmgård, ... 2020 IEEE Conference on Games (CoG), 399-406, 2020 | 16 | 2020 |
| Game bot generation for gaming applications GN Yannakakis, CH Pedersen, L Henriksen, B Mikkelsen, S Risi, ... US Patent 10,918,948, 2021 | 11 | 2021 |
| Learning a behavioral repertoire from demonstrations N Justesen, M González-Duque, D Cabarcas, JB Mouret, S Risi 2020 IEEE Conference on Games (CoG), 383-390, 2020 | 9 | 2020 |
| When are we done with games? N Justesen, MS Debus, S Risi 2019 IEEE Conference on Games (CoG), 1-8, 2019 | 8 | 2019 |
| Blood bowl: The next board game challenge for ai N Justesen, S Risi, J Togelius Blood Bowl: The Next Board Game Challenge for AI, 2018 | 2 | 2018 |
| AI-based content generation for gaming applications S Snodgrass, V Volz, NO Justesen, S Risi, L Henriksen US Patent 11,596,867, 2023 | 1 | 2023 |
| Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors N Justesen, M Kaselimi, S Snodgrass, M Vozaru, M Schlegel, J Wingren, ... arXiv preprint arXiv:2501.00078, 2024 | | 2024 |
