Dr Kathryn Kasmarik

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Hussein A. AbbassFellow IEEE, Founding-Editor-in-Chief, IEEE Trans on AI, Professor, University of New South WalesVerified email at adfa.edu.au
Mary Lou MaherUNC CharlotteVerified email at uncc.edu
Spike (Michael) BarlowUNSWVerified email at adfa.edu.au
M.GarrattProfessor, University of New South WalesVerified email at adfa.edu.au
Kamran ShafiHead of Data ScienceVerified email at addo.ai
Essam DebieLecturer, University of New South WalesVerified email at unsw.edu.au
Sreenatha Anavattiuniversity of New South WalesVerified email at adfa.edu.au
Ning GuProfessor in Architecture, UniSA Creative, University of South AustraliaVerified email at unisa.edu.au
Ismail M. AliSchool of Engineering and Information Technology, University of New South Wales, AustraliaVerified email at unsw.edu.au
Daryl EssamUNSW@ADFAVerified email at adfa.edu.au
Erandi LakshikaUniversity of New South WalesVerified email at adfa.edu.au
Medria Kusuma Dewi HardhienataComputer Science Department Bogor Agricultural UniversityVerified email at apps.ipb.ac.id
Prof. Jiankun HuUniversity of New South Wales, CanberraVerified email at adfa.edu.au
Chris LokanUNSWVerified email at adfa.edu.au
Heba El-FiqiLecturerVerified email at adfa.edu.au
Zhaoyang YangSouth China University of TechnologyVerified email at mail.scut.edu.cn
Lianwen JinProfessor of Electronic and Information Engineering, South China University of TechnologyVerified email at scut.edu.cn
George LeuSenior Research Associate, UNSW Canberra @ ADFAVerified email at adfa.edu.au
Rob SaundersAssociate Professor, Leiden UniversityVerified email at liacs.leidenuniv.nl
Valery UgrinovskiiUniversity of New South Wales Canberra, Canberra, AustraliaVerified email at adfa.edu.au

Dr Kathryn Kasmarik

Professor, Computer Science, University of New South Wales

Verified email at adfa.edu.au - Homepage

Computational Motivation Artificial Intelligence Cognitive Science Machine Learning Developmental Robotics


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Motivated reinforcement learning: curious characters for multiuser games KE Merrick, ML Maher Springer Science & Business Media, 2009	126	2009
Agent models for dynamic 3D virtual worlds ML Maher, K Merrick 2005 International Conference on Cyberworlds (CW'05), 8 pp.-34, 2005	109	2005
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	104	2018
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	86	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	77	2010
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	70	2010
Trusted autonomy and cognitive cyber symbiosis: Open challenges HA Abbass, E Petraki, K Merrick, J Harvey, M Barlow Cognitive computation 8 (3), 385-408, 2016	66	2016
Multi-Task Deep Reinforcement Learning for Continuous Action Control. Z Yang, KE Merrick, HA Abbass, L Jin IJCAI 17, 3301-3307, 2017	62	2017
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	61	2020
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	58	2007
Achievement, affiliation, and power: Motive profiles for artificial agents KE Merrick, K Shafi Adaptive Behavior 19 (1), 40-62, 2011	46	2011
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	45	2019
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	42	2011
Designworld: an augmented 3D virtual world for multidisciplinary, collaborative design ML Maher, M Rosenman, K Merrick, O Macindoe, D MARCHANT CUMINCAD, 2006	41	2006
Motivated learning from interesting events: adaptive, multitask learning agents for complex environments K Merrick, ML Maher Adaptive Behavior 17 (1), 7-27, 2009	40	2009
Value systems for developmental cognitive robotics: A survey K Merrick Cognitive Systems Research 41, 38-55, 2017	38	2017
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	37	2020
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	37	2016
Modeling motivation for adaptive nonplayer characters in dynamic computer game worlds K Merrick Computers in Entertainment (CIE) 5 (4), 1-32, 2008	35	2008
Intrinsic motivation and introspection in reinforcement learning KE Merrick IEEE Transactions on Autonomous Mental Development 4 (4), 315-329, 2012	32	2012

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