Dekker, Evan - Research

Current research projects/students


  1. Müller, S., Dekker, E., Morris-Binelli, K., Piggott, B., Hoyne, G., & Hambrick, D. Z. (2021, November 29 - December 1). Expertise and skill learning knowledge can accelerate performance of soldiers Defence Human Sciences Symposium and Human Performance Research network Symposium
  2. Vamplew P, Webb D, Zintgraf L. M, Roijers D. M, Dazeley R, Issabekov R, Dekker E. (2017) MORL-Glue: A benchmark suite for multi-objective reinforcement learning. In29th Benelux Conference on Artificial Intelligence November 8–9, 2017, Groningen (p. 389).
  3. Vamplew, P., Dazeley, R., Berry, A., Issabekov, R., & Dekker, E. (2011). Empirical evaluation methods for multiobjective reinforcement learning algorithms. Machine Learning, 84(1-2), 51-80.
  4. Mammadov, M., Dekker, E., & Saunders, G. (2004). An Optimization Approach to the study of drug-reaction relationships on the basis of ADRAC dataset: Neurological class of reactions. In Proc. of The Sixth International Conference on Optimization: Techniques and Applications (ICOTA6).

Research interests

  • Mobile programming
  • 3D scanning
  • Consumer virtual reality