Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning.

Peter Vamplew 0001 Federation University, Ballarat, VIC, Australia University of Ballarat, VIC, Australia http://www.ballarat.edu.au/ard/itms/staff/pvamplew.shtml https://orcid.org/0000-0002-8687-4424 Peter Vamplew Peter Vamplew 0002 AMEC Offshore Services, Aberdeen, UK

Andrés Holgado-Sánchez Peter Vamplew 0001 Richard Dazeley Sascha Ossowski Holger Billhardt Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning. 2026 February abs/2602.08835 CoRR https://doi.org/10.48550/arXiv.2602.08835 db/journals/corr/corr2602.html#abs-2602-08835 streams/journals/corr

Hadassah Harland Richard Dazeley Hashini Senaratne Peter Vamplew 0001 Francisco Cruz 0002 Bahareh Nakisa AI apology: a critical review of apology in AI systems. 369 2025 December 58 Artif. Intell. Rev. 12 https://doi.org/10.1007/s10462-025-11305-8 db/journals/air/air58.html#HarlandDSVCN25 streams/journals/air

Kewen Ding Peter Vamplew 0001 Cameron Foale Richard Dazeley An empirical investigation of value-based multi-objective reinforcement learning for stochastic environments. 2025 40 Knowl. Eng. Rev. https://doi.org/10.1017/s0269888925100052 db/journals/ker/ker40.html#DingVFD25 streams/journals/ker

Jayden Teoh Pradeep Varakantham Peter Vamplew 0001 On Generalization Across Environments In Multi-Objective Reinforcement Learning. 2025 ICLR https://openreview.net/forum?id=tuEP424UQ5 conf/iclr/2025 db/conf/iclr/iclr2025.html#TeohV025

Jayden Teoh Pradeep Varakantham Peter Vamplew 0001 On Generalization Across Environments In Multi-Objective Reinforcement Learning. 2025 March abs/2503.00799 CoRR https://doi.org/10.48550/arXiv.2503.00799 db/journals/corr/corr2503.html#abs-2503-00799 streams/journals/corr

Adrian Ly Richard Dazeley Peter Vamplew 0001 Francisco Cruz 0002 Sunil Aryal Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning. 2025 June abs/2506.05716 CoRR https://doi.org/10.48550/arXiv.2506.05716 db/journals/corr/corr2506.html#abs-2506-05716 streams/journals/corr

Rijul Tandon Peter Vamplew 0001 Cameron Foale ES-C51: Expected Sarsa Based C51 Distributional Reinforcement Learning Algorithm. 2025 October abs/2510.15006 CoRR https://doi.org/10.48550/arXiv.2510.15006 db/journals/corr/corr2510.html#abs-2510-15006 streams/journals/corr

Leigh Achterbosch Peter Vamplew 0001 Evita March Assessing the impact of griefing in MMORPGs using self-determination theory. 108388 2024 161 Comput. Hum. Behav. https://doi.org/10.1016/j.chb.2024.108388 db/journals/chb/chb161.html#AchterboschVM24 streams/journals/chb

Adrian Ly Richard Dazeley Peter Vamplew 0001 Francisco Cruz 0002 Sunil Aryal Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks. 127170 2024 576 Neurocomputing https://doi.org/10.1016/j.neucom.2023.127170 db/journals/ijon/ijon576.html#LyDVCA24

Peter Vamplew 0001 Cameron Foale Conor F. Hayes Patrick Mannion Enda Howley Richard Dazeley Scott Johnson Johan Källström Gabriel de Oliveira Ramos Roxana Radulescu Willem Röpke Diederik M. Roijers Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. 2717-2721 2024 AAMAS https://dl.acm.org/doi/10.5555/3635637.3663264 conf/atal/2024 db/conf/atal/aamas2024.html#0001FHMHDJKRRRR24 Catalin Mitelut Benjamin J. Smith Peter Vamplew 0001 Position: Intent-aligned AI Systems Must Optimize for Agency Preservation. 2024 ICML https://proceedings.mlr.press/v235/mitelut24a.html https://openreview.net/forum?id=rfvgdfd1K9 conf/icml/2024 db/conf/icml/icml2024.html#MitelutS024 35851-35875

Kewen Ding Peter Vamplew 0001 Cameron Foale Richard Dazeley An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments. 2024 abs/2401.03163 CoRR https://doi.org/10.48550/arXiv.2401.03163 db/journals/corr/corr2401.html#abs-2401-03163

Peter Vamplew 0001 Cameron Foale Richard Dazeley Value function interference and greedy action selection in value-based multi-objective reinforcement learning. 2024 abs/2402.06266 CoRR https://doi.org/10.48550/arXiv.2402.06266 db/journals/corr/corr2402.html#abs-2402-06266

Peter Vamplew 0001 Conor F. Hayes Cameron Foale Richard Dazeley Hadassah Harland Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment. 2024 abs/2410.11221 CoRR https://doi.org/10.48550/arXiv.2410.11221 db/journals/corr/corr2410.html#abs-2410-11221 streams/journals/corr

Hadassah Harland Richard Dazeley Peter Vamplew 0001 Hashini Senaratne Bahareh Nakisa Francisco Cruz 0002 Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI. 2024 abs/2410.23630 CoRR https://doi.org/10.48550/arXiv.2410.23630 db/journals/corr/corr2410.html#abs-2410-23630 streams/journals/corr

Hadassah Harland Richard Dazeley Hashini Senaratne Peter Vamplew 0001 Francisco Cruz 0002 Bahareh Nakisa AI Apology: A Critical Review of Apology in AI Systems. 2024 abs/2412.15787 CoRR https://doi.org/10.48550/arXiv.2412.15787 db/journals/corr/corr2412.html#abs-2412-15787 streams/journals/corr

Adam Bignold Francisco Cruz 0002 Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew 0001 Cameron Foale A conceptual framework for externally-influenced agents: an assisted reinforcement learning review. 3621-3644 2023 14 J. Ambient Intell. Humaniz. Comput. 4 https://doi.org/10.1007/s12652-021-03489-y db/journals/jaihc/jaihc14.html#BignoldCTBDVF23

Richard Dazeley Peter Vamplew 0001 Francisco Cruz 0002 Explainable reinforcement learning for broad-XAI: a conceptual framework and survey. 16893-16916 2023 August 35 Neural Comput. Appl. 23 https://doi.org/10.1007/s00521-023-08423-1 db/journals/nca/nca35.html#DazeleyVC23

Hadassah Harland Richard Dazeley Bahareh Nakisa Francisco Cruz 0002 Peter Vamplew 0001 AI apology: interactive multi-objective reinforcement learning for human-aligned AI. 16917-16930 2023 August 35 Neural Comput. Appl. 23 https://doi.org/10.1007/s00521-023-08586-x db/journals/nca/nca35.html#HarlandDNCV23

Francisco Cruz 0002 Richard Dazeley Peter Vamplew 0001 Ithan Moreira Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario. 18113-18130 2023 September 35 Neural Comput. Appl. 25 https://doi.org/10.1007/s00521-021-06425-5 db/journals/nca/nca35.html#CruzDVM23

Adam Bignold Francisco Cruz 0002 Richard Dazeley Peter Vamplew 0001 Cameron Foale Human engagement providing evaluative and informative advice for interactive reinforcement learning. 18215-18230 2023 September 35 Neural Comput. Appl. 25 https://doi.org/10.1007/s00521-021-06850-6 https://www.wikidata.org/entity/Q114960307 db/journals/nca/nca35.html#BignoldCDVF23

Adam Bignold Francisco Cruz 0002 Richard Dazeley Peter Vamplew 0001 Cameron Foale Persistent rule-based interactive reinforcement learning. 23411-23428 2023 November 35 Neural Comput. Appl. 32 https://doi.org/10.1007/s00521-021-06466-w db/journals/nca/nca35.html#BignoldCDVF23a

Peter Vamplew 0001 Benjamin J. Smith Johan Källström Gabriel de Oliveira Ramos Roxana Radulescu Diederik M. Roijers Conor F. Hayes Friedrik Hentz Patrick Mannion Pieter J. K. Libin Richard Dazeley Cameron Foale Scalar Reward is Not Enough. 839-841 2023 AAMAS https://dl.acm.org/doi/10.5555/3545946.3598719 conf/atal/2023 db/conf/atal/aamas2023.html#0001SKRRRHHMLDF23 Conor F. Hayes Roxana Radulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane Mathieu Reymond Timothy Verstraeten Luisa M. Zintgraf Richard Dazeley Fredrik Heintz Enda Howley Athirai A. Irissappane Patrick Mannion Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew 0001 Diederik M. Roijers A Brief Guide to Multi-Objective Reinforcement Learning and Planning. 1988-1990 2023 AAMAS https://dl.acm.org/doi/10.5555/3545946.3598869 conf/atal/2023 db/conf/atal/aamas2023.html#HayesRBKMRVZDHH23 Adrian Ly Richard Dazeley Peter Vamplew 0001 Francisco Cruz 0002 Sunil Aryal Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. 1-6 2023 IJCNN https://doi.org/10.1109/IJCNN54540.2023.10191774 conf/ijcnn/2023 db/conf/ijcnn/ijcnn2023.html#LyDVCA23

Catalin Mitelut Ben Smith Peter Vamplew 0001 Intent-aligned AI systems deplete human agency: the need for agency foundations research in AI safety. 2023 abs/2305.19223 CoRR https://doi.org/10.48550/arXiv.2305.19223 db/journals/corr/corr2305.html#abs-2305-19223

Conor F. Hayes Roxana Radulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane Mathieu Reymond Timothy Verstraeten Luisa M. Zintgraf Richard Dazeley Fredrik Heintz Enda Howley Athirai A. Irissappane Patrick Mannion Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew 0001 Diederik M. Roijers A practical guide to multi-objective reinforcement learning and planning. 26 2022 36 Auton. Agents Multi Agent Syst. 1 https://doi.org/10.1007/s10458-022-09552-y db/journals/aamas/aamas36.html#HayesRBKMRVZDHH22

Peter Vamplew 0001 Benjamin J. Smith Johan Källström Gabriel de Oliveira Ramos Roxana Radulescu Diederik M. Roijers Conor F. Hayes Fredrik Heintz Patrick Mannion Pieter J. K. Libin Richard Dazeley Cameron Foale Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). 41 2022 36 Auton. Agents Multi Agent Syst. 2 https://doi.org/10.1007/s10458-022-09575-5 db/journals/aamas/aamas36.html#VamplewSKRRRHHM22

Mohammad Mirzanejad Morteza Ebrahimi Peter Vamplew 0001 Hadi Veisi An online scalarization multi-objective reinforcement learning algorithm: TOPSIS Q-learning. e7 2022 37 Knowl. Eng. Rev. https://doi.org/10.1017/S0269888921000163 db/journals/ker/ker37.html#MirzanejadEVV22

Budi Kurniawan Peter Vamplew 0001 Michael Papasimeon Richard Dazeley Cameron Foale Discrete-to-deep reinforcement learning methods. 1713-1733 2022 34 Neural Comput. Appl. 3 https://doi.org/10.1007/s00521-021-06270-6 db/journals/nca/nca34.html#KurniawanVPDF22

Peter Vamplew 0001 Cameron Foale Richard Dazeley The impact of environmental stochasticity on value-based multiobjective reinforcement learning. 1783-1799 2022 34 Neural Comput. Appl. 3 https://doi.org/10.1007/s00521-021-05859-1 db/journals/nca/nca34.html#VamplewFD22

Francisco Cruz 0002 Charlotte Young Richard Dazeley Peter Vamplew 0001 Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios. 894-901 2022 IROS https://doi.org/10.1109/IROS47612.2022.9981334 conf/iros/2022 db/conf/iros/iros2022.html#0002YD022

Francisco Cruz 0002 Charlotte Young Richard Dazeley Peter Vamplew 0001 Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios. 2022 abs/2207.03214 CoRR https://doi.org/10.48550/arXiv.2207.03214 db/journals/corr/corr2207.html#abs-2207-03214

Adrian Ly Richard Dazeley Peter Vamplew 0001 Francisco Cruz 0002 Sunil Aryal Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks. 2022 abs/2210.03325 CoRR https://doi.org/10.48550/arXiv.2210.03325 db/journals/corr/corr2210.html#abs-2210-03325

Francisco Cruz 0002 Adam Bignold Hung Son Nguyen Richard Dazeley Peter Vamplew 0001 Broad-persistent Advice for Interactive Reinforcement Learning Scenarios. 2022 abs/2210.05187 CoRR https://doi.org/10.48550/arXiv.2210.05187 db/journals/corr/corr2210.html#abs-2210-05187

Richard Dazeley Peter Vamplew 0001 Cameron Foale Charlotte Young Sunil Aryal Francisco Cruz 0002 Levels of explainable artificial intelligence for human-aligned conversational explanations. 103525 2021 299 Artif. Intell. https://doi.org/10.1016/j.artint.2021.103525 db/journals/ai/ai299.html#DazeleyVFYAC21

Peter Vamplew 0001 Cameron Foale Richard Dazeley Adam Bignold Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety. 104186 2021 100 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2021.104186 db/journals/eaai/eaai100.html#VamplewFDB21

Ngoc Duy Nguyen Thanh Thi Nguyen 0001 Peter Vamplew 0001 Richard Dazeley Saeid Nahavandi A Prioritized objective actor-critic method for deep reinforcement learning. 10335-10349 2021 33 Neural Comput. Appl. 16 https://doi.org/10.1007/s00521-021-05795-0 db/journals/nca/nca33.html#NguyenNVDN21

Goodger Nikolaj Peter Vamplew 0001 Cameron Foale Richard Dazeley Language Representations for Generalization in Reinforcement Learning. 390-405 2021 ACML https://proceedings.mlr.press/v157/nikolaj21a.html conf/acml/2021 db/conf/acml/acml2021.html#Nikolaj0FD21

Adam Bignold Francisco Cruz 0002 Richard Dazeley Peter Vamplew 0001 Cameron Foale Persistent Rule-based Interactive Reinforcement Learning. 2021 abs/2102.02441 CoRR https://arxiv.org/abs/2102.02441 db/journals/corr/corr2102.html#abs-2102-02441

Conor F. Hayes Roxana Radulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane Mathieu Reymond Timothy Verstraeten Luisa M. Zintgraf Richard Dazeley Fredrik Heintz Enda Howley Athirai A. Irissappane Patrick Mannion Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew 0001 Diederik M. Roijers A Practical Guide to Multi-Objective Reinforcement Learning and Planning. 2021 abs/2103.09568 CoRR https://arxiv.org/abs/2103.09568 db/journals/corr/corr2103.html#abs-2103-09568

Richard Dazeley Peter Vamplew 0001 Cameron Foale Charlotte Young Sunil Aryal Francisco Cruz 0002 Levels of explainable artificial intelligence for human-aligned conversational explanations. 2021 abs/2107.03178 CoRR https://arxiv.org/abs/2107.03178 db/journals/corr/corr2107.html#abs-2107-03178

Richard Dazeley Peter Vamplew 0001 Francisco Cruz 0002 Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey. 2021 abs/2108.09003 CoRR https://arxiv.org/abs/2108.09003 db/journals/corr/corr2108.html#abs-2108-09003

Peter Vamplew 0001 Benjamin J. Smith Johan Källström Gabriel de Oliveira Ramos Roxana Radulescu Diederik M. Roijers Conor F. Hayes Fredrik Heintz Patrick Mannion Pieter J. K. Libin Richard Dazeley Cameron Foale Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). 2021 abs/2112.15422 CoRR https://arxiv.org/abs/2112.15422 db/journals/corr/corr2112.html#abs-2112-15422

Thanh Thi Nguyen 0001 Ngoc Duy Nguyen Peter Vamplew 0001 Saeid Nahavandi Richard Dazeley Chee Peng Lim A multi-objective deep reinforcement learning framework. 103915 2020 96 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2020.103915 db/journals/eaai/eaai96.html#NguyenNVNDL20

Jordan Greenwood Leigh Achterbosch Grant Meredith Peter Vamplew 0001 Motivational Factors of Australian Mobile Gamers. 45:1-45:6 2020 ACSW https://doi.org/10.1145/3373017.3373066 conf/acsw/2020 db/conf/acsw/acsw2020.html#GreenwoodAM020 Paul Black Ammar Sohail Iqbal Gondal Joarder Kamruzzaman Peter Vamplew 0001 Paul A. Watters API Based Discrimination of Ransomware and Benign Cryptographic Programs. 177-188 2020 ICONIP (2) https://doi.org/10.1007/978-3-030-63833-7_15 conf/iconip/2020-2 db/conf/iconip/iconip2020-2.html#BlackSGK0W20 Ikram Ul Haq Iqbal Gondal Peter Vamplew 0001 Unified Expression Ripple Down Rules based Fraud Detection Technique for Scalable Data. 1-16 2020 ICDM conf/incdm/2020 db/conf/incdm/incdm2020.html#HaqG020 Paul Black Iqbal Gondal Peter Vamplew 0001 Arun Lakhotia Identifying Cross-Version Function Similarity Using Contextual Features. 810-818 2020 TrustCom https://doi.org/10.1109/TrustCom50675.2020.00110 conf/trustcom/2020 db/conf/trustcom/trustcom2020.html#BlackG0L20

Peter Vamplew 0001 Cameron Foale Richard Dazeley A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions. 2020 abs/2004.06277 CoRR https://arxiv.org/abs/2004.06277 db/journals/corr/corr2004.html#abs-2004-06277

Budi Kurniawan Peter Vamplew 0001 Michael Papasimeon Richard Dazeley Cameron Foale Discrete-to-Deep Supervised Policy Learning. 2020 abs/2005.02057 CoRR https://arxiv.org/abs/2005.02057 db/journals/corr/corr2005.html#abs-2005-02057

Francisco Cruz 0002 Richard Dazeley Peter Vamplew 0001 Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario. 2020 abs/2006.13615 CoRR https://arxiv.org/abs/2006.13615 db/journals/corr/corr2006.html#abs-2006-13615

Adam Bignold Francisco Cruz 0002 Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew 0001 Cameron Foale A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review. 2020 abs/2007.01544 CoRR https://arxiv.org/abs/2007.01544 db/journals/corr/corr2007.html#abs-2007-01544

Adam Bignold Francisco Cruz 0002 Richard Dazeley Peter Vamplew 0001 Cameron Foale Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning. 2020 abs/2009.09575 CoRR https://arxiv.org/abs/2009.09575 db/journals/corr/corr2009.html#abs-2009-09575

Ansam Khraisat Iqbal Gondal Peter Vamplew 0001 Joarder Kamruzzaman Survey of intrusion detection systems: techniques, datasets and challenges. 20 2019 2 Cybersecur. 1 https://doi.org/10.1186/s42400-019-0038-7 https://www.wikidata.org/entity/Q127438187 db/journals/cybersec/cybersec2.html#KhraisatGVK19

Armita Zarnegar Herbert F. Jelinek Peter Vamplew 0001 Andrew Stranieri Integrating Biological Heuristics and Gene Expression Data for Gene Regulatory Network Inference. 37:1-37:10 2019 ACSW https://doi.org/10.1145/3290688.3290741 conf/acsw/2019 db/conf/acsw/acsw2019.html#ZarnegarJVS19 Budi Kurniawan Peter Vamplew 0001 Michael Papasimeon Richard Dazeley Cameron Foale An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation. 54-65 2019 Australasian Conference on Artificial Intelligence https://doi.org/10.1007/978-3-030-35288-2_5 conf/ausai/2019 db/conf/ausai/ausai2019.html#Kurniawan0PDF19 Francisco Cruz 0002 Richard Dazeley Peter Vamplew 0001 Memory-Based Explainable Reinforcement Learning. 66-77 2019 Australasian Conference on Artificial Intelligence https://doi.org/10.1007/978-3-030-35288-2_6 https://www.wikidata.org/entity/Q102362944 conf/ausai/2019 db/conf/ausai/ausai2019.html#CruzD019 Ikram Ul Haq Iqbal Gondal Peter Vamplew 0001 Enhancing Model Performance for Fraud Detection by Feature Engineering and Compact Unified Expressions. 399-409 2019 ICA3PP (2) https://doi.org/10.1007/978-3-030-38961-1_35 conf/ica3pp/2019-2 db/conf/ica3pp/ica3pp2019-2.html#HaqG019 Paul Black Iqbal Gondal Peter Vamplew 0001 Arun Lakhotia Evolved Similarity Techniques in Malware Analysis. 404-410 2019 TrustCom/BigDataSE https://doi.org/10.1109/TrustCom/BigDataSE.2019.00061 conf/trustcom/2019 db/conf/trustcom/trustcom2019.html#BlackG0L19 Leigh Achterbosch Peter Vamplew 0001 Griefing in MMORPGs. 2019 Encyclopedia of Computer Graphics and Games https://doi.org/10.1007/978-3-319-08234-9_200-1 reference/ecgg/2019 db/reference/ecgg/1.html#AchterboschV19

Leigh Achterbosch Charlynn Miller Christopher Turville Peter Vamplew 0001 Correction to: Griefers Versus the Griefed - What Motivates Them to Play Massively Multiplayer Online Role-Playing Games? 43 2018 7 Comput. Games J. 1 https://doi.org/10.1007/s40869-017-0048-1 db/journals/cgj/cgj7.html#AchterboschMT018

Alastair Lansley Peter Vamplew 0001 Cameron Foale Philip Smith SoniFight: Software to Provide Additional Sonification Cues to Video Games for Visually Impaired Players. 115-130 2018 7 Comput. Games J. 2 https://doi.org/10.1007/s40869-018-0059-6 https://www.wikidata.org/entity/Q129885509 db/journals/cgj/cgj7.html#Lansley0FS18

Peter Vamplew 0001 Richard Dazeley Cameron Foale Sally Firmin Jane Mummery Human-aligned artificial intelligence is a multiobjective problem. 27-40 2018 20 Ethics Inf. Technol. 1 https://doi.org/10.1007/s10676-017-9440-6 db/journals/ethicsit/ethicsit20.html#VamplewDFFM18

Peter Vamplew 0001 Richard Dazeley Cameron Foale Tanveer A. Choudhury Non-functional regression: A new challenge for neural networks. 326-335 2018 314 Neurocomputing https://doi.org/10.1016/j.neucom.2018.06.066 db/journals/ijon/ijon314.html#VamplewDFC18

Ikram Ul Haq Iqbal Gondal Peter Vamplew 0001 Simon Brown 0003 Categorical Features Transformation with Compact One-Hot Encoder for Fraud Detection in Distributed Environment. 69-80 2018 AusDM https://doi.org/10.1007/978-981-13-6661-1_6 conf/ausdm/2018 db/conf/ausdm/ausdm2018.html#HaqGVB18 Omaru Maruatona Peter Vamplew 0001 Richard Dazeley Paul A. Watters Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA). 137-141 2018 PAKDD (Workshops) https://doi.org/10.1007/978-3-030-04503-6_12 conf/pakdd/2018-w db/conf/pakdd/pakdd2018-w.html#MaruatonaVDW18 Ansam Khraisat Iqbal Gondal Peter Vamplew 0001 An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier. 149-155 2018 PAKDD (Workshops) https://doi.org/10.1007/978-3-030-04503-6_14 conf/pakdd/2018-w db/conf/pakdd/pakdd2018-w.html#KhraisatGV18

Leigh Achterbosch Charlynn Miller Peter Vamplew 0001 A taxonomy of griefer type by motivation in massively multiplayer online role-playing games. 846-860 2017 36 Behav. Inf. Technol. 8 https://doi.org/10.1080/0144929X.2017.1306109 https://www.wikidata.org/entity/Q56892763 db/journals/behaviourIT/behaviourIT36.html#AchterboschMV17

Madalina M. Drugan Marco A. Wiering Peter Vamplew 0001 Madhu Chetty Special issue on multi-objective reinforcement learning. 1-2 2017 263 Neurocomputing https://doi.org/10.1016/j.neucom.2017.06.020 db/journals/ijon/ijon263.html#DruganWVC17

Peter Vamplew 0001 Rustam Issabekov Richard Dazeley Cameron Foale Adam Berry Tim Moore Douglas C. Creighton Steering approaches to Pareto-optimal multiobjective reinforcement learning. 26-38 2017 263 Neurocomputing https://doi.org/10.1016/j.neucom.2016.08.152 db/journals/ijon/ijon263.html#VamplewIDFBMC17

Peter Vamplew 0001 Richard Dazeley Cameron Foale Softmax exploration strategies for multiobjective reinforcement learning. 74-86 2017 263 Neurocomputing https://doi.org/10.1016/j.neucom.2016.09.141 db/journals/ijon/ijon263.html#VamplewDF17

Vishakha Sharma 0003 Andrew Stranieri Julien Ugon Peter Vamplew 0001 Laura Martin An Agile Group Aware Process beyond CRISP-DM: A Hospital Data Mining Case Study. 109-113 2017 ICCDA https://doi.org/10.1145/3093241.3093273 conf/iccda/2017 db/conf/iccda/iccda2017.html#SharmaSUVM17 Omaru Maruatona Peter Vamplew 0001 Richard Dazeley Paul A. Watters Evaluating Accuracy in Prudence Analysis for Cyber Security. 407-417 2017 ICONIP (5) https://doi.org/10.1007/978-3-319-70139-4_41 conf/iconip/2017-5 db/conf/iconip/iconip2017-5.html#MaruatonaVDW17 Armita Zarnegar Peter Vamplew 0001 Andrew Stranieri Herbert F. Jelinek A Heuristic Gene Regulatory Networks Model for Cardiac Function and Pathology. 2016 CinC http://www.cinc.org/archives/2016/pdf/101-135.pdf https://ieeexplore.ieee.org/document/7868752/ conf/cinc/2016 db/conf/cinc/cinc2016.html#ZanegarVSJ16

Jin Wang 0002 Chee Peng Lim Douglas C. Creighton Abbas Khosravi Saeid Nahavandi Julien Ugon Peter Vamplew 0001 Andrew Stranieri Laura Martin Anton Freischmidt Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction. 277-289 2015 26 Neural Comput. Appl. 2 https://doi.org/10.1007/s00521-014-1631-z db/journals/nca/nca26.html#WangLCKNUVSMF15

Peter Vamplew 0001 Rustam Issabekov Richard Dazeley Cameron Foale Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering. 596-608 2015 Australasian Conference on Artificial Intelligence https://doi.org/10.1007/978-3-319-26350-2_53 conf/ausai/2015 db/conf/ausai/ausai2015.html#VamplewIDF15

Leigh Achterbosch Charlynn Miller Christopher Turville Peter Vamplew 0001 Griefers versus the Griefed - what motivates them to play Massively Multiplayer Online Role-Playing Games? 5-18 2014 3 Comput. Games J. 1 https://doi.org/10.1007/BF03392354 db/journals/cgj/cgj3.html#AchternboschMT014

Diederik Marijn Roijers Peter Vamplew 0001 Shimon Whiteson Richard Dazeley A Survey of Multi-Objective Sequential Decision-Making. 2014 abs/1402.0590 CoRR http://arxiv.org/abs/1402.0590 db/journals/corr/corr1402.html#RoijersVWD14

Diederik M. Roijers Peter Vamplew 0001 Shimon Whiteson Richard Dazeley A Survey of Multi-Objective Sequential Decision-Making. 67-113 2013 48 J. Artif. Intell. Res. https://doi.org/10.1613/jair.3987 db/journals/jair/jair48.html#RoijersVWD13

Leigh Achterbosch Charlynn Miller Peter Vamplew 0001 Ganking, corpse camping and ninja looting from the perception of the MMORPG community: acceptable behavior or unacceptable griefing? 19:1-19:8 2013 IE https://doi.org/10.1145/2513002.2513007 https://www.wikidata.org/entity/Q57443648 conf/ie/2013 db/conf/ie/ie2013.html#AchterboschMV13

Rosemary Torney Peter Vamplew 0001 John Yearwood Using psycholinguistic features for profiling first language of authors. 1256-1269 2012 63 J. Assoc. Inf. Sci. Technol. 6 https://doi.org/10.1002/asi.22627 db/journals/jasis/jasis63.html#TorneyVY12

Rustam Issabekov Peter Vamplew 0001 An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms. 626-636 2012 Australasian Conference on Artificial Intelligence https://doi.org/10.1007/978-3-642-35101-3_53 conf/ausai/2012 db/conf/ausai/ausai2012.html#IssabekovV12 Omaru Maruatona Peter Vamplew 0001 Richard Dazeley RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques. 188-194 2012 PKAW https://doi.org/10.1007/978-3-642-32541-0_16 conf/pkaw/2012 db/conf/pkaw/pkaw2012.html#MaruatonaVD12

Peter Vamplew 0001 Richard Dazeley Adam Berry Rustam Issabekov Evan Dekker Empirical evaluation methods for multiobjective reinforcement learning algorithms. 51-80 2011 84 Mach. Learn. 1-2 https://doi.org/10.1007/s10994-010-5232-5 db/journals/ml/ml84.html#VamplewDBID11

Subhasis Mukherjee John Yearwood Peter Vamplew 0001 Md. Shamsul Huda Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem. 24-30 2011 SNPD https://doi.org/10.1109/SNPD.2011.39 https://doi.ieeecomputersociety.org/10.1109/SNPD.2011.39 conf/snpd/2011 db/conf/snpd/snpd2011.html#MukherjeeYVH11 Peter Vamplew 0001 Andrew Stranieri Kok-Leong Ong Peter Christen Paul J. Kennedy Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, Australia, December 2011 AusDM 2011 Australian Computer Society 978-1-921770-02-9 CRPIT 121 http://crpit.scem.westernsydney.edu.au/Vol121.html db/conf/ausdm/ausdm2011.html

Deanna J. Osman John Yearwood Peter Vamplew 0001 Automated opinion detection: Implications of the level of agreement between human raters. 331-342 2010 46 Inf. Process. Manag. 3 https://doi.org/10.1016/j.ipm.2009.08.005 db/journals/ipm/ipm46.html#OsmanYV10

Richard Dazeley Philip Warner Scott Johnson Peter Vamplew 0001 The Ballarat Incremental Knowledge Engine. 195-207 2010 PKAW https://doi.org/10.1007/978-3-642-15037-1_17 https://www.wikidata.org/entity/Q56504072 conf/pkaw/2010 db/conf/pkaw/pkaw2010.html#DazeleyWJV10

Deanna J. Osman John Yearwood Peter Vamplew 0001 Weblogs for market research: finding more relevant opinion documents using system fusion. 873-888 2009 33 Online Inf. Rev. 5 https://doi.org/10.1108/14684520911001882 db/journals/oir/oir33.html#OsmanYV09

Armita Zarnegar Peter Vamplew 0001 Andrew Stranieri Inference of Gene Expression Networks Using Memetic Gene Expression Programming. 17-23 2009 ACSC http://crpit.scem.westernsydney.edu.au/abstracts/CRPITV91Zarnegar.html conf/acsc/2009 db/conf/acsc/acsc2009.html#ZarnegarVS09 Peter Vamplew 0001 Richard Dazeley Ewan Barker Andrei V. Kelarev Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks. 340-349 2009 Australasian Conference on Artificial Intelligence https://doi.org/10.1007/978-3-642-10439-8_35 conf/ausai/2009 db/conf/ausai/ausai2009.html#VamplewDBK09 John Yearwood Dean Webb Liping Ma Peter Vamplew 0001 Bahadorreza Ofoghi Andrei V. Kelarev Applying Clustering and Ensemble Clustering Approaches to phishing Profiling. 25-34 2009 AusDM http://crpit.scem.westernsydney.edu.au/abstracts/CRPITV101Yearwood.html conf/ausdm/2009 db/conf/ausdm/ausdm2009.html#YearwoodWMVOK09 Robert Ollington Peter Vamplew 0001 John Swanson Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks. 207-224 2009 Constructive Neural Networks https://doi.org/10.1007/978-3-642-04512-7_11 series/sci/2009-258 db/series/sci/sci258.html#OllingtonVS09 Peter Vamplew 0001 John Yearwood Richard Dazeley Adam Berry On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts. 372-378 2008 Australasian Conference on Artificial Intelligence https://doi.org/10.1007/978-3-540-89378-3_37 conf/ausai/2008 db/conf/ausai/ausai2008.html#VamplewYDB08 Robert Layton Peter Vamplew 0001 Chris Turville Using Stereotypes to Improve Early-Match Poker Play. 584-593 2008 Australasian Conference on Artificial Intelligence https://doi.org/10.1007/978-3-540-89378-3_59 conf/ausai/2008 db/conf/ausai/ausai2008.html#LaytonVT08 Mofakharul Islam John Yearwood Peter Vamplew 0001 Unsupervised Segmentation of Industrial Images Using Markov Random Field Model. 369-374 2008 EIAT/IETA https://doi.org/10.1007/978-90-481-3656-8_67 conf/cisse/2008eiae db/conf/cisse/eiae2008.html#IslamYV08 Mofakharul Islam Peter Vamplew 0001 John Yearwood MRF Model Based Unsupervised Color Textured Image Segmentation Using Multidimensional Spatially Variant Finite Mixture Model. 375-380 2008 EIAT/IETA https://doi.org/10.1007/978-90-481-3656-8_68 conf/cisse/2008eiae db/conf/cisse/eiae2008.html#IslamVY08 Deanna J. Osman John Yearwood Peter Vamplew 0001 Using Corpus Analysis to Inform Research into Opinion Detection in Blogs. 65-75 2007 AusDM http://crpit.scem.westernsydney.edu.au/abstracts/CRPITV70Osman.html conf/ausdm/2007 db/conf/ausdm/ausdm2007.html#OsmanYV07 Mofakharul Islam John Yearwood Peter Vamplew 0001 Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model. 323-328 2007 SCSS (1) https://doi.org/10.1007/978-1-4020-8741-7_59 conf/cisse/2007scss1 db/conf/cisse/scss2007-1.html#IslamYV07 Cameron Foale Peter Vamplew 0001 Portal-based sound propagation for first-person computer games. 9 2007 IE http://dl.acm.org/citation.cfm?id=1367965 conf/ie/2007 db/conf/ie/ie2007.html#FoaleV07

David Johnson 0007 Vishv M. Malhotra Peter Vamplew 0001 More Effective Web Search Using Bigrams and Trigrams. 2006 3 Webology 4 http://www.webology.org/2006/v3n4/a35.html db/journals/webology/webology3.html#JohnsonMV06

Peter Vamplew 0001 Robert Ollington Mark Hepburn Enhanced Temporal Difference Learning Using Compiled Eligibility Traces. 141-150 2006 conf/ausai/2006 Australian Conference on Artificial Intelligence https://doi.org/10.1007/11941439_18 db/conf/ausai/ausai2006.html#VamplewOH06 Adam Berry Peter Vamplew 0001 An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. 619-626 2006 conf/gecco/2006 GECCO https://doi.org/10.1145/1143997.1144110 db/conf/gecco/gecco2006.html#BerryV06

Robert Ollington Peter Vamplew 0001 Concurrent Q-learning: Reinforcement learning for dynamic goals and environments. 1037-1052 2005 20 Int. J. Intell. Syst. 10 https://doi.org/10.1002/int.20105 db/journals/ijis/ijis20.html#OllingtonV05

Peter Vamplew 0001 Julian R. Dermoudy An Anti-Plagiarism Editor for Software Development Courses. 83-90 2005 conf/ace/2005 ACE http://crpit.scem.westernsydney.edu.au/abstracts/CRPITV42Vamplew.html db/conf/ace/ace2005.html#VamplewD05 Peter Vamplew 0001 Robert Ollington Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning. 113-122 2005 conf/ausai/2005 Australian Conference on Artificial Intelligence https://doi.org/10.1007/11589990_14 db/conf/ausai/ausai2005.html#VamplewO05 Luke Temby Peter Vamplew 0001 Adam Berry Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum. 1108-1111 2005 conf/ausai/2005 Australian Conference on Artificial Intelligence https://doi.org/10.1007/11589990_149 db/conf/ausai/ausai2005.html#TembyVB05 Adam Berry Peter Vamplew 0001 The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking. 77-91 https://doi.org/10.1007/978-3-540-31880-4_6 2005 conf/emo/2005 EMO db/conf/emo/emo2005.html#BerryV05 Peter Vamplew 0001 Robert Ollington On-Line Reinforcement Learning Using Cascade Constructive Neural Networks. 562-568 2005 conf/kes/2005-3 KES (3) https://doi.org/10.1007/11553939_80 db/conf/kes/kes2005-3.html#VamplewO05 Adam Berry Peter Vamplew 0001 A simplified artificial life model for multiobjective optimisation: a preliminary report. 1331-1339 2003 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2003.1299823 conf/cec/2003 db/conf/cec/cec2003.html#Berry003 Peter Vamplew 0001 Anthony Adams Recognition and anticipation of hand motions using a recurrent neural network. 2904-2907 1995 ICNN https://doi.org/10.1109/ICNN.1995.487241 conf/icnn/1995 db/conf/icnn/icnn1995.html#VamplewA95 Leigh Achterbosch Anthony Adams Sunil Aryal Eugenio Bargiacchi Ewan Barker Adam Berry Adam Bignold Holger Billhardt Paul Black Simon Brown 0003 Tim Brys Madhu Chetty Tanveer A. Choudhury Peter Christen Douglas C. Creighton Francisco Cruz 0002 Richard Dazeley Evan Dekker Julian R. Dermoudy Kewen Ding Madalina M. Drugan Morteza Ebrahimi Sally Firmin Cameron Foale Anton Freischmidt Iqbal Gondal Jordan Greenwood Ikram Ul Haq Hadassah Harland Conor F. Hayes Fredrik Heintz Friedrik Hentz Mark Hepburn Andrés Holgado-Sánchez Enda Howley Md. Shamsul Huda Athirai Aravazhi IrissappaneAthirai A. Irissappane Mofakharul Islam Rustam Issabekov Herbert F. Jelinek David Johnson 0007 Scott Johnson Johan Källström Joarder Kamruzzaman Andrei V. Kelarev Paul J. Kennedy Abbas Khosravi Ansam Khraisat Budi Kurniawan Arun Lakhotia Alastair Lansley Robert Layton Pieter LibinPieter J. K. Libin Chee Peng Lim Adrian Ly Liping Ma Matthew Macfarlane Vishv M. Malhotra Patrick Mannion Evita March Laura Martin Omaru Maruatona Grant Meredith Charlynn Miller Mohammad Mirzanejad Catalin Mitelut Tim Moore Ithan Moreira Subhasis Mukherjee Jane Mummery Saeid Nahavandi Bahareh Nakisa Hung Son Nguyen Ngoc Duy Nguyen Thanh Thi Nguyen 0001 Goodger Nikolaj Ann Nowé Bahadorreza Ofoghi Robert Ollington Kok-Leong Ong Deanna J. Osman Sascha Ossowski Michael Papasimeon Roxana Radulescu Gabriel de Oliveira Ramos Marcello Restelli Mathieu Reymond Diederik M. RoijersDiederik Marijn Roijers Willem Röpke Hashini Senaratne Vishakha Sharma 0003 Ben Smith Benjamin J. Smith Philip Smith Ammar Sohail Andrew Stranieri John Swanson Rijul Tandon Matthew E. Taylor Luke Temby Jayden Teoh Rosemary Torney Chris TurvilleChristopher Turville Julien Ugon Pradeep Varakantham Hadi Veisi Timothy Verstraeten Jin Wang 0002 Philip Warner Paul A. Watters Dean Webb Shimon Whiteson Marco A. Wiering John Yearwood Charlotte Young Armita Zarnegar Luisa M. Zintgraf