Cameron Foale

Orcid: 0000-0003-2537-0326

According to our database1, Cameron Foale authored at least 26 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Value function interference and greedy action selection in value-based multi-objective reinforcement learning.
CoRR, 2024

An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments.
CoRR, 2024

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Persistent rule-based interactive reinforcement learning.
Neural Comput. Appl., November, 2023

Human engagement providing evaluative and informative advice for interactive reinforcement learning.
Neural Comput. Appl., September, 2023

A conceptual framework for externally-influenced agents: an assisted reinforcement learning review.
J. Ambient Intell. Humaniz. Comput., 2023

Scalar Reward is Not Enough.
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.
Neural Comput. Appl., 2022

Discrete-to-deep reinforcement learning methods.
Neural Comput. Appl., 2022

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021).
Auton. Agents Multi Agent Syst., 2022

2021
Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety.
Eng. Appl. Artif. Intell., 2021

Levels of explainable artificial intelligence for human-aligned conversational explanations.
Artif. Intell., 2021

Language Representations for Generalization in Reinforcement Learning.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Discrete-to-Deep Supervised Policy Learning.
CoRR, 2020

A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions.
CoRR, 2020

2019
Towards Machine Learning approach for Digital-Health intervention program.
Aust. J. Intell. Inf. Process. Syst., 2019

An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Non-functional regression: A new challenge for neural networks.
Neurocomputing, 2018

Human-aligned artificial intelligence is a multiobjective problem.
Ethics Inf. Technol., 2018

SoniFight: Software to Provide Additional Sonification Cues to Video Games for Visually Impaired Players.
Comput. Games J., 2018

Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Modeling neurocognitive reaction time with gamma distribution.
Proceedings of the Australasian Computer Science Week Multiconference, 2018

2017
Steering approaches to Pareto-optimal multiobjective reinforcement learning.
Neurocomputing, 2017

Softmax exploration strategies for multiobjective reinforcement learning.
Neurocomputing, 2017

2015
Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2007
Portal-based sound propagation for first-person computer games.
Proceedings of the 4th Australasian Conference on Interactive Entertainment, 2007


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