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Author

Cameron Foale

Observed name: Foale, Cameron
Observed institution: Federation University
ORCID: 0000-0003-2537-0326
Observed ORCID: 0000-0003-2537-0326
OpenAlex ID: A5013402425
Levels of explainable artificial intelligence for human-aligned conversational explanations
2021 · Richard Dazeley, Peter Vamplew, et al. · Artificial Intelligence · 141
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Human-aligned artificial intelligence is a multiobjective problem
2017 · Peter Vamplew, Richard Dazeley, et al. · Ethics and Information Technology · 130
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Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)
2022 · Peter Vamplew, Benjamin J. Smith, et al. · Autonomous Agents and Multi-Agent Systems · 72
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Softmax exploration strategies for multiobjective reinforcement learning
2017 · Peter Vamplew, Richard Dazeley, et al. · Neurocomputing · 56
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A conceptual framework for externally-influenced agents: an assisted reinforcement learning review
2021 · Adam Bignold, Francisco Cruz, et al. · Journal of Ambient Intelligence and Humanized Computing · 35
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Steering approaches to Pareto-optimal multiobjective reinforcement learning
2017 · Peter Vamplew, Rustam Issabekov, et al. · Neurocomputing · 28
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An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation
2019 · Budi Kurniawan, Peter Vamplew, et al. · Lecture notes in computer science · 27
Human engagement providing evaluative and informative advice for interactive reinforcement learning
2022 · Adam Bignold, Francisco Cruz, et al. · Neural Computing and Applications · 26
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Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety
2021 · Peter Vamplew, Cameron Foale, et al. · Engineering Applications of Artificial Intelligence · 23
Persistent rule-based interactive reinforcement learning
2021 · Adam Bignold, Francisco Cruz, et al. · Neural Computing and Applications · 22
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The impact of environmental stochasticity on value-based multiobjective reinforcement learning
2021 · Peter Vamplew, Cameron Foale, et al. · Neural Computing and Applications · 22
An Evaluation Methodology for Interactive Reinforcement Learning with Simulated Users
2021 · Adam Bignold, Francisco Cruz, et al. · Biomimetics · 21
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Statistical Calibration of Long-Term Reanalysis Data for Australian Fire Weather Conditions
2022 · Soubhik Biswas, Savin S. Chand, et al. · Journal of Applied Meteorology and Climatology · 8
Caliko: An Inverse Kinematics Software Library Implementation of the FABRIK Algorithm
2016 · Alastair Lansley, Peter Vamplew, et al. · Journal of Open Research Software · 8
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Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering
2015 · Peter Vamplew, Rustam Issabekov, et al. · Lecture notes in computer science · 6
Portal-based sound propagation for first-person computer games
2007 · Cameron Foale, Peter Vamplew · FedUni ResearchOnline (Federation University Australia) · 6
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Issues with Value-Based Multi-objective Reinforcement Learning: Value Function Interference and Overestimation Sensitivity
2024 · Vamplew, Peter, Ethan, et al. · arXiv (Cornell University) · 5
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Modeling neurocognitive reaction time with gamma distribution
2018 · Meena Santhanagopalan, Madhu. Chetty, et al. · Australasian Computer Science Week Multiconference (ACSW) · 5
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment
2024 · Vamplew, Peter, Hayes, Conor F, et al. · arXiv (Cornell University) · 4
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Discrete-to-deep reinforcement learning methods
2021 · Budi Kurniawan, Peter Vamplew, et al. · Neural Computing and Applications · 4
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SoniFight: Software to Provide Additional Sonification Cues to Video Games for Visually Impaired Players
2018 · Alastair Lansley, Peter Vamplew, et al. · The Computer Games Journal · 4
Australian fire weather variability using calibrated long-term reanalysis data
2025 · Soubhik Biswas, Savin S. Chand, et al. · Discover Environment · 3
A NetHack Learning Environment Language Wrapper for Autonomous Agents
2023 · Nikolaj Goodger, Peter Vamplew, et al. · Journal of Open Research Software · 3
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Relevance of Frequency of Heart-Rate Peaks as Indicator of ‘Biological’ Stress Level
2018 · Meena Santhanagopalan, Madhu Chetty, et al. · Lecture notes in computer science · 3
Non-functional regression: A new challenge for neural networks
2018 · Peter Vamplew, Richard Dazeley, et al. · Neurocomputing · 2
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Works count: 49
Citation count: 675
H-index: 12
I10-index: 12
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