Cameron Foale

Gabriel de Oliveira Ramos

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

2023

Persistent rule-based interactive reinforcement learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., November, 2023

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

[BibT_eX]

[DOI]

Neural Comput. Appl., September, 2023

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

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2023

Scalar Reward is Not Enough.

[BibT_eX]

[DOI]

Gabriel de Oliveira Ramos

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

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

[BibT_eX]

[DOI]

Gabriel de Oliveira Ramos

Benjamin J. Smith

Johan Källström

Auton. Agents Multi Agent Syst., 2022

2021

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

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

[BibT_eX]

[DOI]

Artif. Intell., 2021

Language Representations for Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

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

2019

Towards Machine Learning approach for Digital-Health intervention program.

[BibT_eX]

[DOI]

Meena Santhanagopalan

Madhu Chetty

Britt Klein

Aust. J. Intell. Inf. Process. Syst., 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

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

SoniFight: Software to Provide Additional Sonification Cues to Video Games for Visually Impaired Players.

[BibT_eX]

[DOI]

Comput. Games J., 2018

Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level.

[BibT_eX]

[DOI]

Meena Santhanagopalan

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Modeling neurocognitive reaction time with gamma distribution.

[BibT_eX]

[DOI]

Meena Santhanagopalan

Proceedings of the Australasian Computer Science Week Multiconference, 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

2015

Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering.

[BibT_eX]

[DOI]

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

2007

Portal-based sound propagation for first-person computer games.

[BibT_eX]

[DOI]