University of Ballarat, Victoria, Australia
List of publications from the DBLP Bibliography Server - FAQ
| 2009 | ||
|---|---|---|
| 16 | Armita Zarnegar, Peter Vamplew, Andrew Stranieri: Inference of Gene Expression Networks Using Memetic Gene Expression Programming. ACSC 2009: 17-23 | |
| 15 | 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 | |
| 14 | 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) | |
| 2008 | ||
| 13 | 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 | |
| 12 | Robert Layton, Peter Vamplew, Chris Turville: Using Stereotypes to Improve Early-Match Poker Play. Australasian Conference on Artificial Intelligence 2008: 584-593 | |
| 2007 | ||
| 11 | Deanna J. Osman, John Yearwood, Peter Vamplew: Using Corpus Analysis to Inform Research into Opinion Detection in Blogs. AusDM 2007: 65-75 | |
| 10 | Cameron Foale, Peter Vamplew: Portal-based sound propagation for first-person computer games. IE 2007: 9 | |
| 9 | Mofakharul Islam, John Yearwood, Peter Vamplew: Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model. SCSS (1) 2007: 323-328 | |
| 2006 | ||
| 8 | Peter Vamplew, Robert Ollington, Mark Hepburn: Enhanced Temporal Difference Learning Using Compiled Eligibility Traces. Australian Conference on Artificial Intelligence 2006: 141-150 | |
| 7 | Adam Berry, Peter Vamplew: An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. GECCO 2006: 619-626 | |
| 2005 | ||
| 6 | Peter Vamplew, Julian R. Dermoudy: An Anti-Plagiarism Editor for Software Development Courses. ACE 2005: 83-90 | |
| 5 | Luke Temby, Peter Vamplew, Adam Berry: Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum. Australian Conference on Artificial Intelligence 2005: 1108-1111 | |
| 4 | Peter Vamplew, Robert Ollington: Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning. Australian Conference on Artificial Intelligence 2005: 113-122 | |
| 3 | Adam Berry, Peter Vamplew: The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking. EMO 2005: 77-91 | |
| 2 | Peter Vamplew, Robert Ollington: On-Line Reinforcement Learning Using Cascade Constructive Neural Networks. KES (3) 2005: 562-568 | |
| 1 | Robert Ollington, Peter Vamplew: Concurrent Q-learning: Reinforcement learning for dynamic goals and environments. Int. J. Intell. Syst. 20(10): 1037-1052 (2005) | |
| 1 | Ewan Barker | [15] |
| 2 | Adam Berry | [3] [5] [7] [13] |
| 3 | Richard Dazeley | [13] [15] |
| 4 | Julian R. Dermoudy | [6] |
| 5 | Cameron Foale | [10] |
| 6 | Mark Hepburn | [8] |
| 7 | Mofakharul Islam | [9] |
| 8 | Andrei Kelarev | [15] |
| 9 | Robert Layton | [12] |
| 10 | Robert Ollington | [1] [2] [4] [8] |
| 11 | Deanna J. Osman | [11] [14] |
| 12 | Andrew Stranieri | [16] |
| 13 | Luke Temby | [5] |
| 14 | Chris Turville | [12] |
| 15 | John Yearwood | [9] [11] [13] [14] |
| 16 | Armita Zarnegar | [16] |