Richard Dazeley

CoRR, 2024

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning.

[BibT_eX]

[DOI]

Roxana Radulescu

Willem Röpke

Diederik M. Roijers

CoRR, 2024

An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments.

[BibT_eX]

[DOI]

CoRR, 2024

TopFormer: Topology-Aware Transformer for Point Cloud Registration.

[BibT_eX]

[DOI]

Proceedings of the Computational Visual Media - 12th International Conference, 2024

2023

Persistent rule-based interactive reinforcement learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., November, 2023

Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario.

[BibT_eX]

[DOI]

Neural Comput. Appl., September, 2023

Human engagement providing evaluative and informative advice for interactive reinforcement learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., September, 2023

AI apology: interactive multi-objective reinforcement learning for human-aligned AI.

[BibT_eX]

[DOI]

Neural Comput. Appl., August, 2023

Explainable reinforcement learning for broad-XAI: a conceptual framework and survey.

[BibT_eX]

[DOI]

Neural Comput. Appl., August, 2023

Human-aligned reinforcement learning for autonomous agents and robots.

[BibT_eX]

[DOI]

Thommen George Karimpanal

Miguel A. Solis

Pablo Barros

Neural Comput. Appl., August, 2023

Overcoming weaknesses of density peak clustering using a data-dependent similarity measure.

[BibT_eX]

[DOI]

Zafaryab Rasool

Sunil Aryal

Mohamed Reda Bouadjenek

Pattern Recognit., May, 2023

Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments.

[BibT_eX]

[DOI]

Hung Son Nguyen

Sensors, March, 2023

A conceptual framework for externally-influenced agents: an assisted reinforcement learning review.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2023

Current Status and Trends of Engineering Entrepreneurship Education in Australian Universities.

[BibT_eX]

[DOI]

CoRR, 2023

Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Weighted Point Cloud Normal Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

A Wearable Multi-Sensor Fusion Approach for Gender Recognition based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

A Brief Guide to Multi-Objective Reinforcement Learning and Planning.

[BibT_eX]

[DOI]

Athirai A. Irissappane

Patrick Mannion

Ann Nowé

Marcello Restelli

Diederik M. Roijers

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Scalar Reward is Not Enough.

[BibT_eX]

[DOI]

Benjamin J. Smith

Johan Källström

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Discrete-to-deep reinforcement learning methods.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Broad-persistent Advice for Interactive Reinforcement Learning Scenarios.

[BibT_eX]

[DOI]

CoRR, 2022

Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks.

[BibT_eX]

[DOI]

CoRR, 2022

Masked Autoencoders in 3D Point Cloud Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Pareto solutions for convex quadratic multiobjective optimization problems under data uncertainty.

[BibT_eX]

[DOI]

Ann. Oper. Res., 2022

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021).

[BibT_eX]

[DOI]

Benjamin J. Smith

Johan Källström

Auton. Agents Multi Agent Syst., 2022

A practical guide to multi-objective reinforcement learning and planning.

[BibT_eX]

[DOI]

Athirai A. Irissappane

Patrick Mannion

Ann Nowé

Marcello Restelli

Diederik M. Roijers

Auton. Agents Multi Agent Syst., 2022

Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

A Prioritized objective actor-critic method for deep reinforcement learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

usfAD: a robust anomaly detector based on unsupervised stochastic forest.

[BibT_eX]

[DOI]

Sunil Aryal

KC Santosh

Int. J. Mach. Learn. Cybern., 2021

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments.

[BibT_eX]

[DOI]

Hung Son Nguyen

CoRR, 2021

Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task.

[BibT_eX]

[DOI]

Angel Ayala

CoRR, 2021

Levels of explainable artificial intelligence for human-aligned conversational explanations.

[BibT_eX]

[DOI]

Artif. Intell., 2021

A Robust Approach for Continuous Interactive Actor-Critic Algorithms.

[BibT_eX]

[DOI]

Cristian Millán-Arias

Sérgio Fernandes

IEEE Access, 2021

Language Representations for Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

2020

A multi-objective deep reinforcement learning framework.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment.

[BibT_eX]

[DOI]

CoRR, 2020

Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario.

[BibT_eX]

[DOI]

CoRR, 2020

Discrete-to-Deep Supervised Policy Learning.

[BibT_eX]

[DOI]

CoRR, 2020

A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions.

[BibT_eX]

[DOI]

CoRR, 2020

A Comparison of Humanoid Robot Simulators: A Quantitative Approach.

[BibT_eX]

[DOI]

Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

A Robust Approach for Continuous Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

Cristian Millán-Arias

Sérgio Fernandes

Proceedings of the HAI '20: 8th International Conference on Human-Agent Interaction, 2020

2019

An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Memory-Based Explainable Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018

Non-functional regression: A new challenge for neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Human-aligned artificial intelligence is a multiobjective problem.

[BibT_eX]

[DOI]

Ethics Inf. Technol., 2018

Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA).

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

2017

Steering approaches to Pareto-optimal multiobjective reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Softmax exploration strategies for multiobjective reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Evaluating Accuracy in Prudence Analysis for Cyber Security.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015

Authorship analysis of aliases: Does topic influence accuracy?

[BibT_eX]

[DOI]

Nat. Lang. Eng., 2015

Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering.

[BibT_eX]

[DOI]

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2013

Evaluating authorship distance methods using the positive Silhouette coefficient.

[BibT_eX]

[DOI]

Nat. Lang. Eng., 2013

Automated unsupervised authorship analysis using evidence accumulation clustering.

[BibT_eX]

[DOI]

Nat. Lang. Eng., 2013

A Survey of Multi-Objective Sequential Decision-Making.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2013

Local n-grams for Author Identification Notebook for PAN at CLEF 2013.

[BibT_eX]

[DOI]

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2012

Recentred local profiles for authorship attribution.

[BibT_eX]

[DOI]

Nat. Lang. Eng., 2012

RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques.

[BibT_eX]

[DOI]

Omaru Maruatona

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Detection of CAN by Ensemble Classifiers Based on Ripple Down Rules.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Unsupervised authorship analysis of phishing webpages.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Communications and Information Technologies, 2012

2011

Empirical evaluation methods for multiobjective reinforcement learning algorithms.

[BibT_eX]

[DOI]

Mach. Learn., 2011

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

[BibT_eX]

[DOI]

Inf. Secur. Tech. Rep., 2011

Online knowledge validation with prudence analysis in a document management application.

[BibT_eX]

[DOI]

Sung Sik Park

Expert Syst. Appl., 2011

Fault-tolerant data aggregation scheme for monitoring of critical events in grid based healthcare sensor networks.

[BibT_eX]

[DOI]

Ather Saeed

Andrew Stranieri

Proceedings of the 2011 Spring Simulation Multi-conference, 2011

2010

Consensus Clustering and Supervised Classification for Profiling Phishing Emails in Internet Commerce Security.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

The Ballarat Incremental Knowledge Engine.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Automatically determining phishing campaigns using the USCAP methodology.

[BibT_eX]

[DOI]

Proceedings of the 2010 eCrime Researchers Summit, 2010

2009

Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008

Epistemological Approach to the Process of Practice.

[BibT_eX]

[DOI]

Minds Mach., 2008

Generalising Symbolic Knowledge in Online Classification and Prediction.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Acquisition: Approaches, 2008

On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts.

[BibT_eX]

[DOI]

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

Detecting the Knowledge Boundary with Prudence Analysis.

[BibT_eX]

[DOI]

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

An Approach for Generalising Symbolic Knowledge.

[BibT_eX]

[DOI]

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2004

An Augmentation Hybrid System for Document Classification and Rating.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

2003

Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR.

[BibT_eX]

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR.

[BibT_eX]

[DOI]