Dr Kathryn Kasmarik
Cited by
Cited by
Hierarchical deep reinforcement learning for continuous action control
Z Yang, K Merrick, L Jin, HA Abbass
IEEE transactions on neural networks and learning systems 29 (11), 5174-5184, 2018
Motivated reinforcement learning: curious characters for multiuser games
KE Merrick, ML Maher
Springer Science & Business Media, 2009
Multimodal fusion for objective assessment of cognitive workload: A review
E Debie, RF Rojas, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
IEEE transactions on cybernetics 51 (3), 1542-1555, 2019
Agent models for dynamic 3D virtual worlds
ML Maher, K Merrick
2005 International Conference on Cyberworlds (CW'05), 8 pp.-34, 2005
A novel design of differential evolution for solving discrete traveling salesman problems
IM Ali, D Essam, K Kasmarik
Swarm and Evolutionary Computation 52, 100607, 2020
Motivated reinforcement learning for non-player characters in persistent computer game worlds
K Merrick, ML Maher
Proceedings of the 2006 ACM SIGCHI international conference on Advances in …, 2006
An empirical evaluation of puzzle-based learning as an interest approach for teaching introductory computer science
KE Merrick
IEEE Transactions on Education 53 (4), 677-680, 2010
Electroencephalographic workload indicators during teleoperation of an unmanned aerial vehicle shepherding a swarm of unmanned ground vehicles in contested environments
R Fernandez Rojas, E Debie, J Fidock, M Barlow, K Kasmarik, S Anavatti, ...
Frontiers in neuroscience 14, 40, 2020
Trusted autonomy and cognitive cyber symbiosis: Open challenges
HA Abbass, E Petraki, K Merrick, J Harvey, M Barlow
Cognitive computation 8, 385-408, 2016
Multi-Task Deep Reinforcement Learning for Continuous Action Control.
Z Yang, KE Merrick, HA Abbass, L Jin
IJCAI 17, 3301-3307, 2017
A comparative study of value systems for self-motivated exploration and learning by robots
KE Merrick
IEEE Transactions on Autonomous Mental Development 2 (2), 119-131, 2010
Novel binary differential evolution algorithm for knapsack problems
IM Ali, D Essam, K Kasmarik
Information Sciences 542, 177-194, 2021
Motivated reinforcement learning for adaptive characters in open-ended simulation games
KE Merrick, ML Maher
Proceedings of the international conference on Advances in computer …, 2007
Achievement, affiliation, and power: Motive profiles for artificial agents
KE Merrick, K Shafi
Adaptive Behavior 19 (1), 40-62, 2011
Case studies using multiuser virtual worlds as an innovative platform for collaborative design
KE Merrick, N Gu
Journal of Information Technology in Construction (ITcon) 16 (12), 165-188, 2011
Designworld: an augmented 3D virtual world for multidisciplinary, collaborative design
ML Maher, M Rosenman, K Merrick, O Macindoe, D Marchant
Proceedings of CAADRIA 2006, 133-142, 2006
A survey of game theoretic approaches to modelling decision-making in information warfare scenarios
K Merrick, M Hardhienata, K Shafi, J Hu
Future Internet 8 (3), 34, 2016
Convolution neural networks for person identification and verification using steady state visual evoked potential
H El-Fiqi, M Wang, N Salimi, K Kasmarik, M Barlow, H Abbass
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
Value systems for developmental cognitive robotics: A survey
K Merrick
Cognitive Systems Research 41, 38-55, 2017
Motivated learning from interesting events: adaptive, multitask learning agents for complex environments
K Merrick, ML Maher
Adaptive Behavior 17 (1), 7-27, 2009
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