A/Prof. Richard Dazeley

STAFF PROFILE

Position

Associate Head of School, Research

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Contact

Biography

Associate Professor Richard Dazeley an experienced researcher in multiobjective, interactive, deep, safe and explainable RL. He has published several widely cited papers in multiobjective RL where his work significantly contributed to the foundation of this field of research. He has supervised several PhD students in the areas of Reinforcement Learning, Machine Learning, Knowledge Based Systems, Natural Language Processing and ICT Education.

As an educator Richard has been recognised as a nationally leading ICT Curriculum Designer – receiving the Australian National Award as ICT Educator of the Year (2016) from the ACS and was nominated for the International ICT Educator of the Year award from the South-East Asia Regional Computer Confederation (SEARCC) (2017). He was also consulted closely with the development of the Australian Primary and Secondary National Curriculum, worked with the ACS and industry in the development of national industry standards, and provided consultation across a number of Australian universities on the development of innovative curriculum. He primarily teaches in the areas of machine learning, artificial intelligence, programming, algorithms, game/graphics programming.

Read more on Richard's profile

Research interests

Reinforcement learning - focusing on multi-objective, explainable, safe, ethical, interactive and multi-agent reinforcement learning methods. Also pursue interests in knowledge representation, acquisition and prudence analysis and their incorporation into machine learning methods.

Units taught

SIT796 - Reinforcement Learning

SIT799 - Human Aligned Artificial Intelligence

SIT307 - Data Mining and Machine Learning

SIT720 - Machine Learning

SIT221 - Data Structures and Algorithms

SIT102 - Introduction to Programming

Research groups

Deputy Leader Machine Intelligence Lab

Awards

2019 - Teaching and Learning Award

2017 - International ICT Educator of the Year award nominee from the South-East Asia Regional Computer Confederation (SEARCC)

2016 - ACS Australian National ICT Educator of the Year Award

2014 - Dean’s award for Outstanding Service

2011 - Vice-Chancellor’s Excellence in Service Award .

Publications

Filter by

2021

Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety

P Vamplew, C Foale, R Dazeley, A Bignold

(2021), Vol. 100, pp. 1-16, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1

journal article

An Evaluation Methodology for Interactive Reinforcement Learning with Simulated Users

Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale

(2021), Vol. 6, pp. 1-15, Biomimetics, Basel, Switzerland, C1

journal article

A Prioritized objective actor-critic method for deep reinforcement learning

N Nguyen, T Nguyen, P Vamplew, R Dazeley, S Nahavandi

(2021), pp. 1-15, Neural Computing and Applications, Berlin, Germany, C1

journal article

The impact of environmental stochasticity on value-based multiobjective reinforcement learning

Peter Vamplew, Cameron Foale, Richard Dazeley

(2021), pp. 1-17, Neural Computing and Applications, Berlin, Germany, C1

journal article

Levels of explainable artificial intelligence for human-aligned conversational explanations

R Dazeley, P Vamplew, C Foale, C Young, S Aryal, F Cruz

(2021), Vol. 299, pp. 1-29, Artificial Intelligence, Amsterdam, The Netherlands, C1

journal article
2020

A multi-objective deep reinforcement learning framework

T Nguyen, N Nguyen, P Vamplew, S Nahavandi, R Dazeley, C Lim

(2020), Vol. 96, Engineering Applications of Artificial Intelligence, C1

journal article

Deep reinforcement learning with Interactive Feedback in a Human-Robot Environment

Ithan Moreira, Javier Rivas, Francisco Cruz Naranjo, Richard Dazeley, Angel Ayala, Bruno Fernandes

(2020), Vol. 10, pp. 1-16, Applied Sciences, Basel, Switzerland, C1

journal article

usfAD: a robust anomaly detector based on unsupervised stochastic forest

S Aryal, K Santosh, R Dazeley

(2020), pp. 1-14, International journal of machine learning and cybernetics, Cham, Switzerland, C1

journal article

A comparison of humanoid robot simulators: a quantitative approach

A Ayala, F Cruz Naranjo, D Campos, R Rubio, B Fernandes, R Dazeley

(2020), pp. 1-6, ICDL-EpiRob 2020 : Proceedings of the 10th IEEE International Conference on Development and Learning and Epigenetic Robotics, Online from Valparaiso, Chile, E1

conference
2019

An empirical study of reward structures for actor-critic reinforcement learning in air combat manoeuvring simulation

B Kurniawan, P Vamplew, M Papasimeon, R Dazeley, C Foale

(2019), Vol. 11919, pp. 54-65, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australian Joint Conference on Artificial Intelligence 2019, Adelaide, S. Aust., E1

conference

Memory-based explainable reinforcement learning

F Cruz Naranjo, R Dazeley, P Vamplew

(2019), Vol. 11919, pp. 66-77, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019, Adelaide, S. Aust., E1

conference

Aggregation of dependent criteria in multicriteria decision making problems by means of capacities

G Beliakov, S Boswell, T Cao, R Dazeley, V Mak-Hau, M Nguyen, T Wilkin, J Yearwood

(2019), pp. 228-234, MODSIM2019 : Supporting evidence-based decision making: the role of modelling and simulation : Proceedings of the 23rd International Congress on Modelling and Simulation, Canberra, A.C.T., E1

conference
2018

Human-aligned artificial intelligence is a multiobjective problem

P Vamplew, R Dazeley, C Foale, S Firmin, J Mummery

(2018), Vol. 20, pp. 27-40, Ethics and information technology, New York, N.Y., C1-1

journal article

Non-functional regression: a new challenge for neural networks

P Vamplew, R Dazeley, C Foale, T Choudhury

(2018), Vol. 314, pp. 326-335, Neurocomputing, Amsterdam, The Netherlands, C1

journal article

Supporting regional aged care nursing staff to manage residents' behavioural and psychological symptoms of dementia, in real time, using the Nurses' Behavioural Assistant (NBA): a pilot site 'end-user attitudes' trial

Britt Klein, Lisa Clinnick, Jessica Chesler, Andrew Stranieri, Adam Bignold, Richard Dazeley, Suzanne McLaren, Sue Lauder, Venki Balasubramanian

(2018), Vol. 246, pp. 24-28, Telehealth for our ageing society : Proceedings of the 5th Global Telehealth Meeting 2017, Adelaide, S. Aust., E1-1

conference

Rapid anomaly detection using integrated prudence analysis (IPA)

O Maruatona, P Vamplew, R Dazeley, P Watters

(2018), Vol. 11154, pp. 137-141, PAKDD 2018 : Trends and applications in knowledge discovery and data mining : the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Victoria, E1-1

conference
2017

Steering approaches to Pareto-optimal multiobjective reinforcement learning

P Vamplew, R Issabekov, R Dazeley, C Foale, A Berry, T Moore, D Creighton

(2017), Vol. 263, pp. 26-38, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal article

Softmax exploration strategies for multiobjective reinforcement learning

P Vamplew, R Dazeley, C Foale

(2017), Vol. 263, pp. 74-86, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal article

Evaluating accuracy in prudence analysis for cyber security

O Maruatona, P Vamplew, R Dazeley, P Watters

(2017), Vol. 10638, pp. 407-417, ICONIP 2017 : Proceedings of the Neural Information Processing International Conference, Guangzhou, China, E1-1

conference
2015

Authorship analysis of aliases: Does topic influence accuracy?

R Layton, P Watters, R Dazeley

(2015), Vol. 21, pp. 497-518, Natural language engineering, London, Eng., C1-1

journal article

Reinforcement learning of pareto-optimal multiobjective policies using steering

P Vamplew, R Issabekov, R Dazeley, C Foale

(2015), Vol. 9457, pp. 596-608, AI 2015 : Proceedings of the 28th Australasian Joint Conference on Artificial Intelligence 2015, Canberra, A.C.T., E1-1

conference
2013

A survey of multi-objective sequential decision-making

D Roijers, P Vamplew, S Whiteson, R Dazeley

(2013), Vol. 48, pp. 67-113, Journal of artificial intelligence research, Palo Alto, Calif., C1-1

journal article

Evaluating authorship distance methods using the positive silhouette coefficient

R Layton, P Watters, R Dazeley

(2013), Vol. 19, pp. 517-535, Natural language engineering, Cambridge, Eng., C1-1

journal article

Automated unsupervised authorship analysis using evidence accumulation clustering

R Layton, P Watters, R Dazeley

(2013), Vol. 19, pp. 95-120, Natural language engineering, Cambridge, Eng., C1-1

journal article

A survey of multi-objective sequential decision-making

Diederik Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley

(2013), Vol. 48, Journal of artificial intelligence research, C1-1

journal article

Local n-grams for author identification: notebook for PAN at CLEF 2013

R Layton, P Watters, R Dazeley

(2013), Vol. 1179, pp. 1-4, CLEF 2013 : Proceedings of the CLEF 2013 Conference, Valencia, Spain, E1-1

conference
2012

Recentred local profiles for authorship attribution

R Layton, P Watters, R Dazeley

(2012), Vol. 18, pp. 293-312, Natural language engineering, Cambridge, Eng., C1-1

journal article

Detection of CAN by ensemble classifiers based on ripple down rules

A Kelarev, R Dazeley, A Stranieri, J Yearwood, H Jelinek

(2012), Vol. 7457, pp. 147-159, PKAW 2012 : Proceedings of the 12th International Workshop on Knowledge Management and Aquisition for Intelligent Systems, Kuching, Malaysia, E1-1

conference

Prudent fraud detection in internet banking

O Maruatona, P Vamplew, R Dazeley

(2012), pp. 60-65, Proceedings - 2012 3rd Cybercrime and Trustworthy Computing Workshop, CTC 2012, E1-1

conference

RM and RDM, a preliminary evaluation of two prudent RDR techniques

O Maruatona, P Vamplew, R Dazeley

(2012), Vol. 7457 LNAI, pp. 188-194, PKAW 2012 : Proceedings of the 12th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, Kuching, Malaysia, E1-1

conference

Unsupervised authorship analysis of phishing webpages

R Layton, P Watters, R Dazeley

(2012), pp. 1104-1109, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, Gold Coast, QLD, E1-1

conference
2011

Establishing reasoning communities of security experts for internet commerce security

A Kelarev, S Brown, P Watters, X Wu, R Dazeley

(2011), pp. 380-396, Technologies for supporting reasoning communities and collaborative decision making: Cooperative approaches, Hershey, Pa., B1-1

book chapter

Online knowledge validation with prudence analysis in a document management application

R Dazeley, S Park, B Kang

(2011), Vol. 38, pp. 10959-10965, Expert systems with applications, Amsterdam, The Netherlands, C1-1

journal article

Empirical evaluation methods for multiobjective reinforcement learning algorithms

P Vamplew, R Dazeley, A Berry, R Issabekov, E Dekker

(2011), Vol. 84, pp. 51-80, Machine learning, New York, N.Y., C1-1

journal article

How much material on BitTorrent is infringing content? A case study

P Watters, R Layton, R Dazeley

(2011), Vol. 16, pp. 79-87, Information security technical report, Amsterdam, The Netherlands, C1-1

journal article
2010

Authorship attribution for Twitter in 140 characters or less

R Layton, P Watters, R Dazeley

(2010), pp. 1-8, CTC 2010 : Proceedings of the 2nd Cybercrime and Trustworthy Computing Workshop, Ballarat, VIC, E1-1

conference

The Ballarat incremental knowledge engine

R Dazeley, P Warner, S Johnson, P Vamplew

(2010), Vol. 6232, pp. 195-207, PKAW 2010 : Proceedings of the Pacific Rim Knowledge Acquisition Workshop : Knowledge Management and Acquisition for Smart Systems and Services, Daegu, South Korea, E1-1

conference
2009

Optimization of multiple classifiers in data mining based on string rewriting systems

R Dazeley, A Kelarev, J Yearwood, M Mammadov

(2009), Vol. 2, pp. 41-56, Asian-European journal of mathematics, C1-1

journal article

Generalising symbolic knowledge in online classification and prediction

R Dazeley, B Kang

(2009), Vol. 5465, pp. 91-108, Knowledge Acquisition: Approaches, Algorithms and Applications: Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers, Hanoi, Vietnam, E1-1

conference

Constructing stochastic mixture policies for episodic multiobjective reinforcement learning tasks

P Vamplew, R Dazeley, E Barker, A Kelarev

(2009), Vol. 5866, pp. 340-349, AI 2009 : Advances in Artificial Intelligence : Proceedings of the 22nd Australasian Joint Conference, Melbourne, Vic., E1-1

conference
2008

Epistemological approach to the process of practice

R Dazeley, B Kang

(2008), Vol. 18, pp. 547-567, Minds and machines, Dordrecht, The Netherlands, C1-1

journal article

An expert system methodology for SMEs and NPOs

R Dazeley

(2008), Harnessing Knowledge Management to Build Communities - Proceedings of the 11th Annual Australian Conference on Knowledge Management and Intelligent Decision Support, ACKMIDS 08, Mount Helen, Vic., E1-1

conference

Detecting the knowledge boundary with prudence analysis

R Dazeley, B Kang

(2008), Vol. 5360 LNAI, pp. 482-488, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

An approach for generalising symbolic knowledge

R Dazeley, B Kang

(2008), Vol. 5360 LNAI, pp. 379-385, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference
2003

Weighted MCRDR: Deriving information about relationships between classifications in MCRDR

R Dazeley, B Kang

(2003), Vol. 2903, pp. 245-255, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

Funded Projects at Deakin

Other Public Sector Funding

Scaling Force Effectiveness Modelling and Assessment Methods.

A/Prof Vicky Mak, Prof John Yearwood, Prof Gleb Beliakov, A/Prof Richard Dazeley, A/Prof Tim Wilkin

  • 2021: $49,221
  • 2020: $114,880
  • 2019: $131,293

Modeling Adversary Intent Using Multiobjective Reinforcement Learning.

A/Prof Richard Dazeley, Dr Sunil Aryal

  • 2021: $5,372

A competency-aware multi-agent framework for human-machine teams in adversarial environments.

A/Prof Richard Dazeley, Dr Sunil Aryal

  • 2021: $115,124

Supervisions

No completed student supervisions to report