Peter Vamplew

University of Ballarat, Victoria, Australia

	2012
j6		Rosemary Torney, Peter Vamplew, John Yearwood: Using psycholinguistic features for profiling first language of authors. JASIST 63(6): 1256-1269 (2012)
c20		Rustam Issabekov, Peter Vamplew: An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms. Australasian Conference on Artificial Intelligence 2012: 626-636
c19		Omaru Maruatona, Peter Vamplew, Richard Dazeley: RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques. PKAW 2012: 188-194
	2011
j5		Peter Vamplew, Richard Dazeley, Adam Berry, Rustam Issabekov, Evan Dekker: Empirical evaluation methods for multiobjective reinforcement learning algorithms. Machine Learning 84(1-2): 51-80 (2011)
c18		Subhasis Mukherjee, John Yearwood, Peter Vamplew, Md. Shamsul Huda: Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem. SNPD 2011: 24-30
	2010
j4		Deanna J. Osman, John Yearwood, Peter Vamplew: Automated opinion detection: Implications of the level of agreement between human raters. Inf. Process. Manage. 46(3): 331-342 (2010)
c17		Richard Dazeley, Philip Warner, Scott Johnson, Peter Vamplew: The Ballarat Incremental Knowledge Engine. PKAW 2010: 195-207
	2009
j3		Deanna J. Osman, John Yearwood, Peter Vamplew: Weblogs for market research: finding more relevant opinion documents using system fusion. Online Information Review 33(5): 873-888 (2009)
c16		Armita Zarnegar, Peter Vamplew, Andrew Stranieri: Inference of Gene Expression Networks Using Memetic Gene Expression Programming. ACSC 2009: 17-23
c15		Peter Vamplew, Richard Dazeley, Ewan Barker, Andrei Kelarev: Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks. Australasian Conference on Artificial Intelligence 2009: 340-349
p1		Robert Ollington, Peter Vamplew, John Swanson: Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks. Constructive Neural Networks 2009: 207-224
	2008
c14		Peter Vamplew, John Yearwood, Richard Dazeley, Adam Berry: On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts. Australasian Conference on Artificial Intelligence 2008: 372-378
c13		Robert Layton, Peter Vamplew, Chris Turville: Using Stereotypes to Improve Early-Match Poker Play. Australasian Conference on Artificial Intelligence 2008: 584-593
c12		Mofakharul Islam, John Yearwood, Peter Vamplew: Unsupervised Segmentation of Industrial Images Using Markov Random Field Model. EIAT/IETA 2008: 369-374
c11		Mofakharul Islam, Peter Vamplew, John Yearwood: MRF Model Based Unsupervised Color Textured Image Segmentation Using Multidimensional Spatially Variant Finite Mixture Model. EIAT/IETA 2008: 375-380
	2007
c10		Deanna J. Osman, John Yearwood, Peter Vamplew: Using Corpus Analysis to Inform Research into Opinion Detection in Blogs. AusDM 2007: 65-75
c9		Mofakharul Islam, John Yearwood, Peter Vamplew: Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model. SCSS (1) 2007: 323-328
c8		Cameron Foale, Peter Vamplew: Portal-based sound propagation for first-person computer games. IE 2007: 9
	2006
j2		David Johnson, Vishv M. Malhotra, Peter Vamplew: More Effective Web Search Using Bigrams and Trigrams. Webology 3(4) (2006)
c7		Peter Vamplew, Robert Ollington, Mark Hepburn: Enhanced Temporal Difference Learning Using Compiled Eligibility Traces. Australian Conference on Artificial Intelligence 2006: 141-150
c6		Adam Berry, Peter Vamplew: An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. GECCO 2006: 619-626
	2005
j1		Robert Ollington, Peter Vamplew: Concurrent Q-learning: Reinforcement learning for dynamic goals and environments. Int. J. Intell. Syst. 20(10): 1037-1052 (2005)
c5		Peter Vamplew, Julian R. Dermoudy: An Anti-Plagiarism Editor for Software Development Courses. ACE 2005: 83-90
c4		Peter Vamplew, Robert Ollington: Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning. Australian Conference on Artificial Intelligence 2005: 113-122
c3		Luke Temby, Peter Vamplew, Adam Berry: Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum. Australian Conference on Artificial Intelligence 2005: 1108-1111
c2		Adam Berry, Peter Vamplew: The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking. EMO 2005: 77-91
c1		Peter Vamplew, Robert Ollington: On-Line Reinforcement Learning Using Cascade Constructive Neural Networks. KES (3) 2005: 562-568

Coauthor Index

Colors in the list of coauthors

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