Richard Dazeley
Scholar

Richard Dazeley

Google Scholar ID: Tp8Sx6AAAAAJ
Professor of Artificial Intelligence and Machine Learning, School of Information Technology, Deakin
Multi-objective Reinforcement LearningAI SafetyExplainable AIAI alignmentReinforcement Learning
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Citations & Impact
All-time
Citations
3,511
 
H-index
27
 
i10-index
39
 
Publications
20
 
Co-authors
30
list available
Publications
15 items
Execution-Aware Pre-Execution Ranking for Grasp-Conditioned Robotic Placement
2026
Cited
0
Hybrid Residual Reinforcement Learning for Contact-Rich Robotic Book Insertion
2026
Cited
0
Label-free Industrial Fault Detection via Adversarial Inverse Reinforcement Learning: A System for Run-to-Failure Prognostics
2026
Cited
0
OOD-RL-Bench: A Benchmark Framework for Out-of-Distribution Detection in Reinforcement Learning
2026
Cited
0
Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection
2026
Cited
0
Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning
2026
Cited
0
Optimizing Robotic Placement via Grasp-Dependent Feasibility Prediction
2025
Cited
0
DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
2025
Cited
0
Co-authors
13 total
Peter Vamplew
Peter Vamplew
Professor, Information Technology, Federation University Australia
Francisco Cruz
Francisco Cruz
UNSW Sydney
Diederik M. Roijers
Diederik M. Roijers
Researcher @ Vrije Universiteit Brussel & City of Amsterdam
Sunil Aryal
Sunil Aryal
Deakin University Australia
Conor F. Hayes
Conor F. Hayes
Cognizant AI Lab
Byeong Ho Kang
Byeong Ho Kang
Professor, University of Tasmania
Roxana Rădulescu
Roxana Rădulescu
Intelligent Systems, Utrecht University
Patrick Mannion
Patrick Mannion
Lecturer Above the Bar / Assistant Professor in Computer Science, University of Galway