Dekker, Evan - Research
Current research projects/students
- Member of TEPPS (Technologies for Empowering People for Participation in Society)
- PhD Candidate
- 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).
- 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.
- 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).
- Mobile programming
- 3D scanning
- Consumer virtual reality