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Cameron Foale
Cameron Foale
Verified email at federation.edu.au
Title
Cited by
Cited by
Year
Human-aligned artificial intelligence is a multiobjective problem
P Vamplew, R Dazeley, C Foale, S Firmin, J Mummery
Ethics and Information Technology 20 (1), 27-40, 2018
882018
Softmax exploration strategies for multiobjective reinforcement learning
P Vamplew, R Dazeley, C Foale
Neurocomputing 263, 74-86, 2017
392017
Steering approaches to Pareto-optimal multiobjective reinforcement learning
P Vamplew, R Issabekov, R Dazeley, C Foale, A Berry, T Moore, ...
Neurocomputing 263, 26-38, 2017
312017
Levels of explainable artificial intelligence for human-aligned conversational explanations
R Dazeley, P Vamplew, C Foale, C Young, S Aryal, F Cruz
Artificial Intelligence 299, 103525, 2021
282021
Portal-based sound propagation for first-person computer games
C Foale, P Vamplew
Proceedings of the 4th Australasian conference on Interactive entertainment, 1-8, 2007
152007
A conceptual framework for externally-influenced agents: An assisted reinforcement learning review
A Bignold, F Cruz, ME Taylor, T Brys, R Dazeley, P Vamplew, C Foale
Journal of Ambient Intelligence and Humanized Computing, 1-24, 2021
112021
Persistent rule-based interactive reinforcement learning
A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale
Neural Computing and Applications, 1-18, 2021
112021
An empirical study of reward structures for actor-critic reinforcement learning in air combat manoeuvring simulation
B Kurniawan, P Vamplew, M Papasimeon, R Dazeley, C Foale
Australasian Joint Conference on Artificial Intelligence, 54-65, 2019
112019
Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety
P Vamplew, C Foale, R Dazeley, A Bignold
Engineering Applications of Artificial Intelligence 100, 104186, 2021
92021
Caliko: An inverse kinematics software library implementation of the FABRIK algorithm
A Lansley, P Vamplew, P Smith, C Foale
Journal of Open Research Software 4 (1), 2016
92016
Human engagement providing evaluative and informative advice for interactive reinforcement learning
A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale
Neural Computing and Applications, 1-16, 2022
82022
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)
P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ...
Autonomous Agents and Multi-Agent Systems 36 (2), 1-19, 2022
72022
The impact of environmental stochasticity on value-based multiobjective reinforcement learning
P Vamplew, C Foale, R Dazeley
Neural Computing and Applications 34 (3), 1783-1799, 2022
72022
An evaluation methodology for interactive reinforcement learning with simulated users
A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale
Biomimetics 6 (1), 13, 2021
72021
Reinforcement learning of Pareto-optimal multiobjective policies using steering
P Vamplew, R Issabekov, R Dazeley, C Foale
Australasian Joint Conference on Artificial Intelligence, 596-608, 2015
72015
SoniFight: Software to provide additional sonification cues to video games for visually impaired players
A Lansley, P Vamplew, C Foale, P Smith
The Computer Games Journal 7 (2), 115-130, 2018
42018
Modeling neurocognitive reaction time with gamma distribution
M Santhanagopalan, M Chetty, C Foale, S Aryal, B Klein
Proceedings of the Australasian Computer Science Week Multiconference, 1-10, 2018
42018
Discrete-to-deep supervised policy learning
B Kurniawan, P Vamplew, M Papasimeon, R Dazeley, C Foale
arXiv preprint arXiv:2005.02057, 2020
22020
A demonstration of issues with value-based multiobjective reinforcement learning under stochastic state transitions
P Vamplew, C Foale, R Dazeley
arXiv preprint arXiv:2004.06277, 2020
22020
Relevance of Frequency of Heart-Rate Peaks as Indicator of ‘Biological’ Stress Level
M Santhanagopalan, M Chetty, C Foale, S Aryal, B Klein
International Conference on Neural Information Processing, 598-609, 2018
22018
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