Faculty of Science and Technology

Vamplew, Peter (A/Prof) - Research

Current research projects/students

Development, evaluation and application of multiobjective reinforcement learning algorithms (in collaboration with Dr Richard Dazeley and various external collaborators)

Current PhD students:

  • Rustam Issabekov - Empirical Evaluation of Temporal-Difference Multiobjective Reinforcement Learning Algorithms
  • Rosemary Torney - Application of Psycholinguistic Features to Authorship Profiling for First Language, Gender and Age Group
  • Leigh Achterbsoch – An Analysis of Griefing in Massively Multiplayer Online Role-playing Games
  • Julie Ross – Issues Around the Classification of Video Games in Australia
  • Alastair Lansley – New Wave Input: An Exploration of Novel Input Technologies and their Uses

Current Honours student:

    Adam Bignold – Incorporating Human Advice into Reinforcement Learning using Ripple-Down Rules

Publications/conferences

Journal papers

  1. Wang, J., Lim, C.P., Creighton, D., Khorsavi, A., Nahavandi, S., Ugon, J., Vamplew, P., Stranieri, A., Martin, L. and Freischmidt, A. (2014), Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction, Neural Computing and Applications, June 2014
  2. Ross, J., Miller, C. and Vamplew, P. (2014), Video games classified M and MA15+ in Australia compared with their international counterparts: does games classification protect Australian children?, Journal of Research and Practice in Information Technology, accepted for publication.
  3. Achterbosch, L., Miller, C., Turville, C. and Vamplew, P. (2014), Griefers versus the Griefed - what motivates them to play Massively Multiplayer Online Role-Playing Games?, The Computer Games Journal, 3(1), Candlemas 2014, 5-18.
  4. Roijers, D., Vamplew, P., Whiteson, S. and Dazeley, R. (2013), A Survey of Multiobjective Sequential Decision-Making, Journal of Artificial Intelligence Research, Vol 48, 67-113.
  5. Torney, R., Vamplew, P. and Yearwood, J. (2012), Using Psycholinguistic Features for Profiling First Language of Authors, Journal of the American Society for Information Science and Technology, 63(6), 1256-1269.
  6. Moloney, D., Sukhorukova, N., Vamplew, P., Ugon, J., Li, G., Beliakov, G., Philippe, C., Amiel, H. and Ugon, A. (2011), Detecting K-complexes for sleep stage identification using nonsmooth optimisation, Australia and New Zealand Journal of Industrial and Applied Mathematics, Vol 52, No 4, 319-332.
  7. Kelarev, A., Yearwood, J.L., Vamplew, P. W., Abawajy, J. And Chowdhury, M. (2011), Optimization and Matrix Constructions for Classification of Data, New Zealand Journal of Mathematics, 41, 65-73.
  8. Vamplew, P., Dazeley, R., Berry, A., Dekker, E. and Issabekov, R. (2011) Empirical Evaluation Methods for Multiobjective Reinforcement Learning Algorithms, Machine Learning, Special Issue on Empirical Evaluations in Reinforcement Learning, 84(1-2): 51-80.
  9. Osman, D., Yearwood, J. and Vamplew, P. (2010), "Automated Opinion Detection: Implications of the Level of Agreement Between Human Raters", Information Processing and Management, 46(3), pp 331-342.
  10. Osman, D., Yearwood, J. and Vamplew, P. (2009), "Weblogs for Market Research: Finding More Relevant Opinion Documents using System Fusion", in Journal of Online Information Review, Special Issue on Web Mining for E-Commerce and E-Services, 33(5), pp 873-888.
  11. Kelarev, A.V., Yearwood, J.L., Vamplew, P.W. (2009) "A polynomial ring construction for classification of data", Bulletin of the Australian Mathematical Society , 79, pp 213-225.
  12. Johnson, D, Malhotra, V, & Vamplew, P (2006), "More Effective Web Search Using Bigrams and Trigrams." Webology, 3(4), Article 35.
  13. Ollington, R and Vamplew, P, (2005) "Concurrent Q-Learning: Reinforcement Learning for Dynamic Goals and Environments", International Journal of Intelligent Systems, Vol 20, Issue 10, October 2005, pp 1037-1052
  14. Ollington, R and Vamplew, P, (2002) "A Supervised Neural Network Based on the Cerebellum", Australian Journal of Intelligent Information Processing Systems, Vol 6, No. 4, Summer 2000, pp242-248 (actually published in 2002)
  15. Adams, A and Vamplew, P, (1998) "Encoding and Decoding Cyclic Data", The South Pacific Journal of Natural Science, Vol 16, pp. 54-58
  16. Vamplew, P and Adams, A, (1998) "Recognition of Sign Language Gestures Using Neural Networks", Australian Journal of Intelligent Information Processing Systems, Vol 5, No. 2, pp.94-102

Book chapters

  1. Block, J., Graymore, M., Wallis, A. M., Vamplew, P., Mitchell, B., O'Toole, K. and McRae-Williams, P. (2012). Visualising the Value of Water. In M. Graymore, P. McRae-Williams, Barton, A. and L. Lehmann (Eds.) Pipes, Ponds and People: Adaptive water management in Drylands. VURRN Press, Mt Helen, Victoria
  2. Torney, R., Yearwood, J., Vamplew, P. and Kelarev, A. (2012), "Applications of Machine Learning for Linguistic Analysis of Texts" in Kulkarni, S. (eds), Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, IGI Global, 133-148.
  3. Ollington, R., Vamplew, P. and Swanson, J. (2009), "Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks", in Franco, L., Elizondo, D. and Jerez, J.M. (eds), "Constructive Neural Networks", Studies in Computational Intelligence Vol. 258, Springer, ISBN 978-3-642-04511-0, pp 207-224.
  4. Vamplew, P (2002), "Websites", in Cox, R, Russell, D and Vamplew, W (eds), "The Encyclopedia of British Football", Frank Cass, pp 318-320
  5. Vamplew, P (1994), "Sign Language Recognition Using Virtual Reality Gloves" in Loeffler, CE and Anderson, T (eds), "Virtual Reality Casebook", Van Nostrand Reinhold, pp 123-126 [also published in Japanese as Loeffler, CE, "Virtual Realities: Anthology of Industry and Culture", Gijitsu Hyoron Sha, Tokyo, 1993, pp 210-214]

International conference papers

  1. Maruatona, O., Vamplew, P. and Dazeley, R. (2012), RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques, 12th Pacific Rim Knowledge Acquisition Workshop, Lecture Notes in Computer Science Volume 7457, Springer, pp 188-194.
  2. Mukherjee, S.; Yearwood, J.; Vamplew, P. and Huda, S. (2011), Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem in Proceedings of 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp 24-30.
  3. Dazeley, R., Warner, P., Johnson, S. and Vamplew, P. (2010) The Ballarat Incremental Knowledge Engine, In the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010)
  4. Islam, M., Yearwood, J., Vamplew, P. (2008), Unsupervised Segmentation of Industrial Images Using Markov Random Field Model, in Proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering 2008 (CISSE 2008).
  5. Islam, M., Yearwood, J., Vamplew, P. (2008), MRF Model Based Unsupervised Color Textured Image Segmentation Using Multidimensional Spatially Variant Finite Mixture Model, in Proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering 2008 (CISSE 2008).
  6. Osman, D., Yearwood, J. and Vamplew, P. (2008), "System Fusion for Opinion Detection in Weblogs", 2nd International Workshop on Web Mining for E-commerce and E-services (WMEE' 08), Melbourne.
  7. Islam, M., Yearwood, J., and Vamplew, P. (2007), Unsupervised Color Textured Image Segmentation Using Cluster Ensemble and MRF Model, International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, IEEE Proceedings, Springer, Berlin.
  8. Berry, A. and Vamplew, P.W. (2006), "An Efficient Data Structure for Unbounded Bi-Objective Archives - Introducing the Mak_Tree", at GECCO-2006: The Genetic and Evolutionary Computation Conference.
  9. Vamplew, P and Ollington, R, (2005), "On-Line Reinforcement Learning Using Cascade Constructive Neural Networks", in Khosla, R., Howlett, R.J. and Jain, L.J. (Eds.), Proceedings of KES2005: Ninth International Conference on Knowledge-Based Intelligent Information & Engineering Systems Part III, Lecture Notes in Artificial Intelligence 3683, Springer, Berlin, 2005, ISBN 3-5440-28896-1, pp 562-568.
  10. Berry, A. and Vamplew, P.W. (2005), "The Combative Accretion Model: Multiobjective Optimisation Without Explicit Pareto Ranking", in Carlos A. Coello Coello, Arturo Hernández Aguirre, Eckart Zitzler (Eds.): Evolutionary Multi-Criterion Optimization, Third International Conference,EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings. Lecture Notes in Computer Science 3410 Springer 2005, ISBN 3-540-24983-4, pp 77-91.
  11. Vamplew, P.W. (2004), "Lego? Mindstorms? Robots as a Platform for Teaching Reinforcement Learning", in Negnevitsky, M (ed), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094, pp 70-75.
  12. Ollington, R. B. and Vamplew, P.W. (2004), "Learning Place Cells from Sonar Data", in Negnevitsky, M (ed), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094, pp 126-131
  13. Ollington, R.B. and Vamplew, P.W. (2004), "Reducing the Time Complexity of Goal-Independent Reinforcement Learning", in Negnevitsky, M (ed), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094, pp 132-137
  14. Berry, A. and Vamplew, P.W. (2004), "A Language for Platform Independent Communication and Storage in Multiobjective Optimisation", in Negnevitsky, M (ed), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094, pp 308-313
  15. Berry, A. and Vamplew, P.W. (2004), "PoD Can Mutate: A Simple Dynamic Directed Mutation Approach for Genetic Algorithms", in Negnevitsky, M (ed), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094, pp 200-205
  16. Field, T. and Vamplew, P.W. (2004), "Generalised Algorithms for Redirected Walking in Virtual Environments", in Negnevitsky, M (ed), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094, pp 58-63
  17. Johnson, D., Malhotra, V.M., Vamplew, P.W., and Patro, S. (2004), "Refining Search Queries From Examples Using Boolean Expressions and Latent Semantic Analysis". in Negnevitsky, M (ed), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094, pp 120-125
  18. Ollington, R. and Vamplew, P. (2003), "Concurrent Q-Learning for Autonomous Mapping and Navigation" at the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems, Singapore, 15-18 December 2003.
  19. Ollington, R. and Vamplew, P. (2003), "Adaptive Response Function Neurons" at the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems, Singapore, 15-18 December 2003.
  20. Berry, A. and Vamplew, P. (2003), "A Simplified Artificial Life Model for Multiobjective Optimisation: A Preliminary Report", in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1331--1339, IEEE Press, Canberra, Australia, December 2003 .
  21. Rosebrock, U and Vamplew, P, (1999) "The intent to move; generating spatial memory in Virtual Environments", at the 5th International Conference on Virtual Systems and Multimedia, Dundee, Scotland, 1-2 September 1999
  22. Vamplew, P (1996), "Recognition of Sign Language Gestures Using Neural Networks", in Sharkey, P (ed), Proceedings of the 1st European Conference on Disabilities, Virtual Reality and Associated Technologies, University of Reading, UK, 1996, ISBN 0-7049-1140-X, pp 27-34.
  23. Vamplew, P and Adams, A (1995), "Recognition and Anticipation of Hand Motions Using a Recurrent Neural Network" at IEEE International Conference on Neural Networks, Perth, Western Australia, 27 November - 1 December 1995, pp 2904-2907
  24. Adams, A, Bye, S and Vamplew, P (1992), "A New Artificial Neural Network Classifier", at ICANN 92: The International Conference on Artificial Neural Networks, Brighton, UK, 4-7 September 1992
  25. Vamplew, P and Adams, A (1992), "The SLARTI System: Applying Artificial Neural Networks to Sign Language Recognition" at The Conference on Technology and Persons with Disabilities, California State University, Northridge, 18-21 March, 1992, pp 575-580.

Australian conference papers

  1. Achterbosch, L., Miller, C. and Vamplew, P. (2013), Ganking, Corpse Camping and Ninja Looting from the perception of the MMORPG community: Acceptable Behavior or Unacceptable Griefing?, 9th Australasian Conference on Interactive Entertainment, Melbourne, September 2013.
  2. Issabekov, R. and Vamplew, P. (2012), An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms, Proceedings of the Australasian Joint Conference on Artificial Intelligence
  3. Nankervis, S., Meredith, G., Fotinatos, N., & Vamplew, P. (2012). Taming the Devil: A Game-Based Approach to Teaching Immunology. Proceedings of the Australian Society for Computers in Learning in Tertiary Education conference. Wellington, New Zealand.
  4. Maruatona, O., Vamplew, P. and Dazeley, R. (2012), Prudent Fraud Detection in Internet Banking, Proceedings of the Workshop on Cybercrime and Trusted Computing
  5. Sukhorukova, N., Stranieri, A., Ofoghi, B., Vamplew, P., Saleem, M., Ma, L., Ugon, A., Ugon, J., Muecke, N., Amiel, H., Philippe, C., Bani-Mustafa, A., Huda, S., Bertoli, M., Lévy, P., Ganascia, J-G (2010), Automatic sleep stage identification: difficulties and possible solutions, Proceedings of the Australian Computer Science Conference, January 2010, Gold Coast, Australia.
  6. Yearwood, J., Webb, D., Vamplew, P., Ma, L. Ofoghi, B. and Kelarev, A. (2009), Applying Clustering and Ensemble Clustering Approaches to Phishing Profiling, The Australasian Data Mining Conference: AusDM 2009, Melbourne, Australia, December 2009.
  7. Vamplew, P., Dazeley, R., Barker, E. and Kelarev, A. (2009), Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks, Proceedings of AI09: The 22nd Australasian Conference on Artificial Intelligence, Melbourne, Australia, December 2009, Springer, Lecture Notes in Artificial Intelligence Vol 5866.
  8. Zarnegar, A., Vamplew, P. and Stranieri, A. (2009) Inference of Gene Expression Networks Using Memetic Gene Expression Programming, 32nd Aust. Computer Science Conference (ACSC), ACSW 2009, Auckland, New Zealand, 19-23 Jan 2009, CRPIT Vol.91, pp.29-35
  9. Vamplew, P., Yearwood, J., Dazeley, R. and Berry, A., (2008), On the Limitations of Scalarisation for Multiobjective Learning of Pareto Fronts, in Wobcke, W and Zhang, M (Eds), Proceedings of AI08: The 21st Australasian Conference on Artificial Intelligence, Auckland, New Zealand, December 2008, Springer, Lecture Notes in Artificial Intelligence, Vol 5360, ISBN 978-3-540-89377-6, pp 372-378
  10. Layton, R., Vamplew, P., and Turville, C., (2008), Using Stereotypes to Improve Early-Match Poker Play, in Wobcke, W and Zhang, M (Eds), Proceedings of AI08: The 21st Australasian Conference on Artificial Intelligence, Auckland, New Zealand, December 2008, Springer, Lecture Notes in Artificial Intelligence, Vol 5360, ISBN 978-3-540-89377-6, pp 584-593
  11. Foale, C. and Vamplew, P. (2007), "Portal-based Sound Propagation for First-Person Computer Games" in Proceedings of the Fourth Australian Conference on Interactive Entertainment (IE2007), ISBN: 978-1-921166-87-7
  12. Osman, D., Yearwood, J. and Vamplew, P. (2007), "Using Corpus Analysis to Inform Research into Opinion Detection in Blogs", Proceedings of the 6th Australasian Data Mining Conference, Gold Coast, December 2007, CRPIT Volume 70, ISBN978-1-920682-51-4, pp 65-75
  13. Vamplew, P., Ollington, R. and Hepburn, M. (2006), Enhanced Temporal Difference Learning Using Compiled Eligibility Traces, in Sattar, A and Kang, B-H (Eds), Proceedings of AI06: The 19th Australian Conference on Artificial Intelligence, Hobart, Tasmania, 3-5 December 2006., Springer, Lecture Notes in Artificial Intelligence, Vol 4304, ISBN 978-3-540-49787-5, pp 141-150
  14. Vamplew, P and Ollington, R (2005) "Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning", in Zhang, Shichao; Jarvis, Ray (Eds.) 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Springer, Lecture Notes in Artificial Intelligence, Vol.3809 ISBN: 3-540-30462-2, pp 113-122
  15. Temby, L, Vamplew, P and Berry, A (2005), "Accelerating Real-Valued Genetic Algorithms Using Mutation-With-Momentum", at AI'05: The 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 2005, in Zhang, Shichao; Jarvis, Ray (Eds.) 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Springer, Lecture Notes in Artificial Intelligence, Vol.3809 ISBN: 3-540-30462-2, pp 1108-1111
  16. Vamplew, P.W. and Dermoudy, J. (2005), "An Anti-Plagiarism Editor for Software Development Courses", in Alison Young, Denise Tolhurst (Eds.): Seventh Australasian Computing Education Conference (ACE 2005), Newcastle, NSW, Australia, January/February 2005. CRPIT 42 Australian Computer Society 2005, ISBN 1-920682-24-4, pp 83-90
  17. Vamplew, P., Clark, D., Adams, A and Muench, J. (1996), "Techniques for Dealing with Missing Values in Feedforward Networks", in ACNN'96: Proceedings of the Seventh Australian Conference on Neural Networks, Canberra, 1996
  18. Vamplew, P and Adams, A (1994), "Neural Transplant Surgery: An Approach to Pre-training Recurrent Networks" in Tsio, A.C. and Downs, T. (eds), Proceedings of the Fifth Australian Conference on Neural Networks, University of Queensland, February 1994, pp 105-108
  19. Vamplew, P (1993), "The SLARTI Sign Language Recognition System: A Progress Report" at the Australian Conference on Technology and People With Disabilities, Regency Park Centre for the Young Disabled, Adelaide, 5-7 July 1993, pp 46-48.
  20. Bye, S, Adams, A and Vamplew, P (1993), "The Self-Growing Feed-Forward Counterpropagation Network" at ACNN'93: The Fourth Australian Conference on Neural Networks, University of Melbourne, 1-3 February 1993
  21. Vamplew, P and Adams, A (1992), "Missing Values in a Backpropagation Neural Net" at Leong, P and Jabri, M (eds), ACNN'92: The Third Australian Conference on Neural Networks, Sydney University1992, pp 64-67
  22. Adams, A, Bye, S, and Vamplew, P (1991) "A New Activation Function for the Backpropagation Neural Network" in Maeder, A. J. and Jenkins, B.M., (eds), Proceedings of DICTA-91 Digital Image Computing: Techniques and Applications, Melbourne, 4-6 December, Australian Pattern Recognition Society, 1991, ISBN 0-646-07338-9, pp 132-137
  23. Vamplew, P (1991), "Computer Recognition of Sign Language" in Thorne, J.G. (ed)., Paper Clips to Silicon Chips: Second National Conference on Disability Issues and Technology, Hobart, 6-9 October 1991

Theses

  1. Vamplew, P, "Recognition of Sign Language Using Neural Networks", PhD Thesis, Department of Computer Science, University of Tasmania, May 1996

Editorial publications

  1. Vamplew, P., Stranieri, A., Ong, K-L., Christen, P. and Kennedy, P. (eds.) (2011), Proceedings of the Ninth Australasian Data Mining Conference (AusDM2011), Conferences in Research and Practice in Information Technology (CRPIT), Vol. 121.
  2. Vamplew, P (ed) (1992), "AI'92: Summary of the IR&DB Technology Transfer Session of the 5th Australian Joint Conference on Artificial Intelligence", 16-18 November 1992, Hobart, Tasmania

Unrefereed publications

  1. Graymore, M., Block, J., Wallis, A., Vamplew, P., McRae-Williams, P., Mitchell, B.and O'Toole, K. (2010), WINDSCREEN: A climate change visualisation tool for water allocation decisions, 2010 International Climate Change Adaptation Conference, 29 June - 1 July 2010, Gold Coast, Queensland.
  2. McRae-Williams, P., Mitchell, B., Block, J., Wallis, A., Vamplew, P., Graymore, M. and K., O. T. (2009). Driving Water Futures: The Use of an Interactive Visualisation Tool for Community Water Allocation Engagement, Report # 03/09, Water in Drylands Collaborative Research Program, University of Ballarat.
  3. Graymore, M., P. McRae-Williams, J. Block, B. Mitchell, A. Wallis, K. O'Toole and P. Vamplew (2009), "Footy, Flows and Farms: A Visualisation Tool for Determining Community Water Allocation Preferences", 21st Conference for the Pacific Regional Science Conference Organisation, Gold Coast, July 19 - 22, 2009
  4. Vamplew, P and Adams, A (1992), "The SLARTI System: Computer sign language recognition" in AASE National Newsletter, Australian Association of Special Education, No2, p 9 (article requested by the editor)
  5. Bye, S, Adams, A and Vamplew, P (1992), "A Self-Growing Neural Architecture for Classification", Technical report R92-3, Department of Computer Science, University of Tasmania, Hobart.
  6. Vamplew, P and Adams, A (1991), "Real World Problems in Backpropagation", Technical Report R91-4, Department of Computer Science, University of Tasmania, Hobart, December.

Research interests

  • Reinforcement learning (focusing on multiobjective reinforcement learning)
  • Machine learning and artificial intelligence
  • Evolutionary computation
  • Text mining