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Evan Dekker
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Empirical evaluation methods for multiobjective reinforcement learning algorithms
P Vamplew, R Dazeley, A Berry, R Issabekov, E Dekker
Machine learning 84, 51-80, 2011
3492011
MORL-Glue: A benchmark suite for multi-objective reinforcement learning
P Vamplew, D Webb, LM Zintgraf, DM Roijers, R Dazeley, R Issabekov, ...
29th Benelux Conference on Artificial Intelligence November 8–9, 2017 …, 2017
102017
Attributes of expert anticipation should inform the design of virtual reality simulators to accelerate learning and transfer of skill
S Müller, E Dekker, K Morris-Binelli, B Piggott, G Hoyne, W Christensen, ...
Sports Medicine 53 (2), 301-309, 2023
82023
A Study of Drug-Reaction Relationships in Australian Drug Safety Data
MA Mamedov, GW Saunders, E Dekker
Proceedings of the 2nd Australian Data Mining Workshop (ADM03). December …, 2003
42003
An optimization approach to the study of drug-reaction relationships on the basis of adrac dataset: Neurological class of reactions
M Mammadov, E Dekker, G Saunders
Proc. of The Sixth International Conference on Optimization: Techniques and …, 2004
22004
Correction to: Attributes of Expert Anticipation Should Inform the Design of Virtual Reality Simulators to Accelerate Learning and Transfer of Skill
S Müller, E Dekker, K Morris-Binelli, B Piggott, G Hoyne, W Christensen, ...
Sports Medicine (Auckland, NZ) 53 (2), 311, 2023
12023
Attributes of Expert Anticipation Should Inform the Design of Virtual Reality Simulators to Accelerate Learning and Transfer of Skill (Jul, 10.1007/s40279-022-01735-7, 2022)
S Mueller, E Dekker, K Morris-Binelli, B Piggott, G Hoyne, W Christensen, ...
SPORTS MEDICINE 53 (2), 311-311, 2023
2023
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