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Niels Justesen
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2020 – today
- 2020
- [j2]Niels Justesen
, Philip Bontrager
Deep Learning for Video Game Playing. IEEE Trans. Games 12(1): 1-20 (2020) - [c11]Ruben Rodriguez Torrado, Ahmed Khalifa
Bootstrapping Conditional GANs for Video Game Level Generation. CoG 2020: 41-48 - [c10]Niels Justesen, Miguel González Duque, Daniel Cabarcas Jaramillo, Jean-Baptiste Mouret, Sebastian Risi:
Learning a Behavioral Repertoire from Demonstrations. CoG 2020: 383-390 - [c9]Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. CoG 2020: 399-406 - [i7]Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi, Sami Purmonen, Christoffer Holmgård, Julian Togelius, Sebastian Risi:
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. CoRR abs/2005.12579 (2020)
2010 – 2019
- 2019
- [c8]Niels Justesen, Michael S. Debus, Sebastian Risi:
When Are We Done with Games? CoG 2019: 1-8 - [c7]Niels Justesen, Lasse Møller Uth, Christopher Jakobsen, Peter David Moore, Julian Togelius
Blood Bowl: A New Board Game Challenge and Competition for AI. CoG 2019: 1-8 - [c6]Niels Justesen, Sebastian Risi, Jean-Baptiste Mouret:
MAP-Elites for noisy domains by adaptive sampling. GECCO (Companion) 2019: 121-122 - [i6]Niels Justesen, Miguel González Duque, Daniel Cabarcas Jaramillo, Jean-Baptiste Mouret, Sebastian Risi:
Learning a Behavioral Repertoire from Demonstrations. CoRR abs/1907.03046 (2019) - [i5]Ruben Rodriguez Torrado, Ahmed Khalifa, Michael Cerny Green, Niels Justesen, Sebastian Risi, Julian Togelius:
Bootstrapping Conditional GANs for Video Game Level Generation. CoRR abs/1910.01603 (2019) - 2018
- [j1]Niels Justesen
Playing Multiaction Adversarial Games: Online Evolutionary Planning Versus Tree Search. IEEE Trans. Games 10(3): 281-291 (2018) - [c5]Niels Justesen, Sebastian Risi:
Automated Curriculum Learning by Rewarding Temporally Rare Events. CIG 2018: 1-8 - [i4]Niels Justesen, Sebastian Risi:
Automated Curriculum Learning by Rewarding Temporally Rare Events. CoRR abs/1803.07131 (2018) - [i3]Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager, Ahmed Khalifa, Julian Togelius, Sebastian Risi:
Procedural Level Generation Improves Generality of Deep Reinforcement Learning. CoRR abs/1806.10729 (2018) - 2017
- [c4]Niels Justesen, Sebastian Risi:
Learning macromanagement in starcraft from replays using deep learning. CIG 2017: 162-169 - [c3]Niels Justesen, Sebastian Risi:
Continual online evolutionary planning for in-game build order adaptation in StarCraft. GECCO 2017: 187-194 - [i2]Niels Justesen, Sebastian Risi:
Learning Macromanagement in StarCraft from Replays using Deep Learning. CoRR abs/1707.03743 (2017) - [i1]Niels Justesen, Philip Bontrager, Julian Togelius, Sebastian Risi:
Deep Learning for Video Game Playing. CoRR abs/1708.07902 (2017) - 2016
- [c2]Niels Justesen, Tobias Mahlmann, Julian Togelius
Online Evolution for Multi-action Adversarial Games. EvoApplications (1) 2016: 590-603 - 2014
- [c1]Niels Justesen, Balint Tillman, Julian Togelius
Script- and cluster-based UCT for StarCraft. CIG 2014: 1-8
Coauthor Index
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