Cameron Foale
Cameron Foale
E-mail confirmado em federation.edu.au
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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
282018
Softmax exploration strategies for multiobjective reinforcement learning
P Vamplew, R Dazeley, C Foale
Neurocomputing 263, 74-86, 2017
202017
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
142017
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
132007
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
62016
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
32019
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
32015
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
22018
Non-functional regression: A new challenge for neural networks
P Vamplew, R Dazeley, C Foale, T Choudhury
Neurocomputing 314, 326-335, 2018
12018
The Directional Propagation Cache: Real-time Acoustic Simulation for Immersive Computer Games
C Foale
University of Ballarat, 2010
12010
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning
A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale
arXiv preprint arXiv:2009.09575, 2020
2020
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
arXiv preprint arXiv:2007.01544, 2020
2020
Discrete-to-Deep Supervised Policy Learning
B Kurniawan, P Vamplew, M Papasimeon, R Dazeley, C Foale
arXiv preprint arXiv:2005.02057, 2020
2020
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
2020
Towards Machine Learning approach for Digital-Health intervention program.
M Santhanagopalan, M Chetty, C Foale, B Klein
Aust. J. Intell. Inf. Process. Syst. 15 (3), 16-24, 2019
2019
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
2018
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
2018
A Framework for Modular Abstract Sound Synthesis Using Multi-agent Systems
C Foale
2000
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