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  • 2 Similar Profiles
Splines Engineering & Materials Science
Computer games Engineering & Materials Science
Learning systems Engineering & Materials Science
Computational complexity Engineering & Materials Science
Decision making Engineering & Materials Science
Feedback Engineering & Materials Science
Experiments Engineering & Materials Science

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Research Output 2015 2016

  • 5 Article in proceeding
  • 1 Book

Intrinsically Motivated Reinforcement Learning: A Promising Framework for Procedural Content Generation

Shaker, N., 2016, IEEE Computational Inteligence in Games. IEEE

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Procedural Content Generation in Games

Shaker, N., Togelius, J. & J. Nelson, M., 2016, Springer.

Research output: Book/ReportBookResearch

3 Citations (Scopus)

Transfer Learning for Cross-Game Prediction of Player Experience

Shaker, N. & Abou-Zleikha, M., 2016, IEEE Computational Inteligence in Games 2016. IEEE

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)
336 Downloads (Pure)

Evolving Random Forest for Preference Learning

Abou-Zleikha, M. & Shaker, N., 2015, Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Mora, A. M. & Squillero, G. (eds.). Springer, p. 318-330 (Lecture Notes in Computer Science, Vol. 9028).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File
5 Citations (Scopus)
227 Downloads (Pure)

Preference learning with evolutionary Multivariate Adaptive Regression Spline model

Abou-Zleikha, M., Shaker, N. & Christensen, M. G., 2015, IEEE Congress on Evolutionary Computation (CEC) . IEEE Press, p. 2184 - 2191 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File
Splines
Learning systems
Computational complexity
Decision making
Feedback