| 2025 | ICLR | On Generalization Across Environments In Multi-Objective Reinforcement Learning. | Jayden Teoh, Pradeep Varakantham, Peter Vamplew |
| 2024 | ICML | Position: Intent-aligned AI Systems Must Optimize for Agency Preservation. | Catalin Mitelut, Benjamin J. Smith, Peter Vamplew |
| 2023 | IJCNN | Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. | Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal |
| 2022 | IROS | Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios. | Francisco Cruz, Charlotte Young, Richard Dazeley, Peter Vamplew |
| 2021 | ACML | Language Representations for Generalization in Reinforcement Learning. | Goodger Nikolaj, Peter Vamplew, Cameron Foale, Richard Dazeley |
| 2020 | ICONIP | API Based Discrimination of Ransomware and Benign Cryptographic Programs. | Paul Black, Ammar Sohail, Iqbal Gondal, Joarder Kamruzzaman, Peter Vamplew, Paul A. Watters |
| 2020 | TrustCom | Identifying Cross-Version Function Similarity Using Contextual Features. | Paul Black, Iqbal Gondal, Peter Vamplew, Arun Lakhotia |
| 2019 | ICA3PP | Enhancing Model Performance for Fraud Detection by Feature Engineering and Compact Unified Expressions. | Ikram Ul Haq, Iqbal Gondal, Peter Vamplew |
| 2019 | TrustCom | Evolved Similarity Techniques in Malware Analysis. | Paul Black, Iqbal Gondal, Peter Vamplew, Arun Lakhotia |
| 2018 | AusDM | Categorical Features Transformation with Compact One-Hot Encoder for Fraud Detection in Distributed Environment. | Ikram Ul Haq, Iqbal Gondal, Peter Vamplew, Simon Brown |
| 2018 | PAKDD | An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier. | Ansam Khraisat, Iqbal Gondal, Peter Vamplew |
| 2018 | PAKDD | Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA). | Omaru Maruatona, Peter Vamplew, Richard Dazeley, Paul A. Watters |
| 2017 | ICONIP | Evaluating Accuracy in Prudence Analysis for Cyber Security. | Omaru Maruatona, Peter Vamplew, Richard Dazeley, Paul A. Watters |
| 2013 | IE | Ganking, corpse camping and ninja looting from the perception of the MMORPG community: acceptable behavior or unacceptable griefing? | Leigh Achterbosch, Charlynn Miller, Peter Vamplew |
| 2012 | PKAW | RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques. | Omaru Maruatona, Peter Vamplew, Richard Dazeley |
| 2011 | SNPD | Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem. | Subhasis Mukherjee, John Yearwood, Peter Vamplew, Md. Shamsul Huda |
| 2010 | PKAW | The Ballarat Incremental Knowledge Engine. | Richard Dazeley, Philip Warner, Scott Johnson, Peter Vamplew |
| 2009 | AusDM | Applying Clustering and Ensemble Clustering Approaches to phishing Profiling. | John Yearwood, Dean Webb, Liping Ma, Peter Vamplew, Bahadorreza Ofoghi, Andrei V. Kelarev |
| 2007 | AusDM | Using Corpus Analysis to Inform Research into Opinion Detection in Blogs. | Deanna J. Osman, John Yearwood, Peter Vamplew |
| 2007 | IE | Portal-based sound propagation for first-person computer games. | Cameron Foale, Peter Vamplew |
| 2006 | GECCO | An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. | Adam Berry, Peter Vamplew |
| 2005 | ACE | An Anti-Plagiarism Editor for Software Development Courses. | Peter Vamplew, Julian R. Dermoudy |
| 2005 | EMO | The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking. | Adam Berry, Peter Vamplew |
| 2005 | KES | On-Line Reinforcement Learning Using Cascade Constructive Neural Networks. | Peter Vamplew, Robert Ollington |
| 2003 | CEC | A simplified artificial life model for multiobjective optimisation: a preliminary report. | Adam Berry, Peter Vamplew |