Difficulty Modelling in Puzzle Games
Difficulty Modelling in Puzzle Games Kristensen, J. T. & Burelli, P., 2022, (Submitted) In: IEEE Transactions on Games. Research output:
Difficulty Modelling in Puzzle Games Kristensen, J. T. & Burelli, P., 2022, (Submitted) In: IEEE Transactions on Games. Research output:
Personalized Game Difficulty Prediction Using Factorization Machines Kristensen, J. T., Guckelsberger, C., Burelli, P. & Hämäläinen, P., 2022, In: UIST:
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Statistical Modelling of Level Difficulty in Puzzle Games Kristensen, J. T., Burelli, P. & Valdivia, A., 2021, Proceedings of the
Continue readingStatistical Modelling of Level Difficulty in Puzzle Games
Procedural Content Generation of Puzzle Games using Conditional Generative Adversarial Networks Hald, A., Stuckermann Hansen, J., Kristensen, J. T. &
Estimating Player Completion Rate in Mobile Puzzle Games Using Reinforcement Learning Kristensen, J. T., Valdivia, A. & Burelli, P., 2020,
Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games Kristensen, J. T. & Burelli, P., 2020, Proceedings of the
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General AI Game Commentary Nakashima, T., Gravina, D., Burelli, P. & Thawonmas, R., 27 Jun 2019, National Institute of Informatics.
Learning Abstract Forward Models Perez, D., Risi, S., Liapis, A., Preuss, M., Simon, L., Richoux, F., Burelli, P. & Nelson,
Universal Player Models Burelli, P., Yannakakis, G., Kummer, L. & Kyung-Joong, K., 27 Jun 2019, National Institute of Informatics. 2
Combining Sequential and Aggregated Data for Churn Prediction inCasual Freemium Games Kristensen, J. T. & Burelli, P., 30 Jul 2019,