متابعة
Peter Vamplew
Peter Vamplew
Professor, Information Technology, Federation University Australia
بريد إلكتروني تم التحقق منه على federation.edu.au - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Survey of intrusion detection systems: techniques, datasets and challenges‏
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman‏
Cybersecurity 2 (1), 1-22, 2019‏
1842*2019
A Survey of Multi-Objective Sequential Decision-Making‏
DM Roijers, P Vamplew, S Whiteson, R Dazeley‏
Journal of Artificial Intelligence Research 48, 67-113, 2013‏
8102013
A practical guide to multi-objective reinforcement learning and planning‏
CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ...‏
Autonomous Agents and Multi-Agent Systems 36 (1), 1-59, 2022‏
3962022
Empirical evaluation methods for multiobjective reinforcement learning algorithms‏
P Vamplew, R Dazeley, A Berry, R Issabekov, E Dekker‏
Machine learning, 1-30, 2011‏
3872011
A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks‏
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman, A Alazab‏
Electronics 8 (11), 1210, 2019‏
2592019
Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine‏
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman, A Alazab‏
Electronics 9 (1), 173, 2020‏
2022020
Human-aligned artificial intelligence is a multiobjective problem‏
P Vamplew, R Dazeley, C Foale, S Firmin, J Mummery‏
Ethics and Information Technology 20 (1), 27-40, 2018‏
1712018
On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts‏
P Vamplew, J Yearwood, R Dazeley, A Berry‏
AI 2008: Advances in Artificial Intelligence, 372-378, 2008‏
1662008
A multi-objective deep reinforcement learning framework‏
TT Nguyen, ND Nguyen, P Vamplew, S Nahavandi, R Dazeley, CP Lim‏
Engineering Applications of Artificial Intelligence 96, 103915, 2020‏
1522020
Levels of Explainable Artificial Intelligence for Human-Aligned Conversational Explanations‏
R Dazeley, P Vamplew, C Foale, C Young, S Aryal, F Cruz‏
Artificial Intelligence, 103525, 2021‏
1492021
Recognition of sign language gestures using neural networks‏
P Vamplew, A Adams‏
Australian Journal of Intelligent Information Processing Systems 5 (2), 94-102, 1998‏
1281998
An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier‏
A Khraisat, I Gondal, P Vamplew‏
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 149-155, 2018‏
1062018
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)‏
P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ...‏
Autonomous Agents and Multi-Agent Systems 36 (2), 1-19, 2022‏
932022
A taxonomy of griefer type by motivation in massively multiplayer online role-playing games‏
L Achterbosch, C Miller, P Vamplew‏
Behaviour & Information Technology 36 (8), 846-860, 2017‏
712017
Explainable reinforcement learning for broad-xai: a conceptual framework and survey‏
R Dazeley, P Vamplew, F Cruz‏
Neural Computing and Applications 35 (23), 16893-16916, 2023‏
672023
Constructing stochastic mixture policies for episodic multiobjective reinforcement learning tasks‏
P Vamplew, R Dazeley, E Barker, A Kelarev‏
AI 2009: Advances in Artificial Intelligence, 340-349, 2009‏
662009
Softmax exploration strategies for multiobjective reinforcement learning‏
P Vamplew, R Dazeley, C Foale‏
Neurocomputing 263, 74-86, 2017‏
642017
An anti-plagiarism editor for software development courses‏
P Vamplew, J Dermoudy‏
Proceedings of the 7th Australasian conference on Computing education-Volume …, 2005‏
562005
Applying clustering and ensemble clustering approaches to phishing profiling‏
J Yearwood, D Webb, L Ma, P Vamplew, B Ofoghi, A Kelarev‏
Eighth Australasian Data Mining Conference, AusDM, 25-34, 2009‏
502009
Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario‏
F Cruz, R Dazeley, P Vamplew, I Moreira‏
Neural Computing and Applications, 1-18, 2021‏
492021
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20