Dekker, Evan - Research

Current research projects/students

Publications/conferences

  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 https://www.dst.defence.gov.au/event/defence-human-sciences-symposium-2021
  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