Cameron Foale

发表

Portal-based sound propagation for first-person computer games

Peter Vamplew, Cameron Foale, 2007, IE '07.

Human-aligned artificial intelligence is a multiobjective problem

Peter Vamplew, Jane Mummery, Richard Dazeley, 2018, Ethics and Information Technology.

A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review pdf

Matthew E. Taylor, Tim Brys, Peter Vamplew, 2020, ArXiv.

Discrete-to-Deep Supervised Policy Learning pdf

Michael Papasimeon, Peter Vamplew, Budi Kurniawan, 2020, ArXiv.

Steering approaches to Pareto-optimal multiobjective reinforcement learning

Peter Vamplew, Douglas C. Creighton, Tim Moore, 2017, Neurocomputing.

Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering

Peter Vamplew, Richard Dazeley, Cameron Foale, 2015, Australasian Conference on Artificial Intelligence.

An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation

Michael Papasimeon, Peter Vamplew, Budi Kurniawan, 2019, Australasian Conference on Artificial Intelligence.

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

Madhu Chetty, Cameron Foale, Sunil Aryal, 2018, ICONIP.

Non-functional regression: A new challenge for neural networks

Peter Vamplew, Richard Dazeley, Cameron Foale, 2018, Neurocomputing.

Softmax exploration strategies for multiobjective reinforcement learning

Peter Vamplew, Richard Dazeley, Cameron Foale, 2017, Neurocomputing.

Caliko v1.1.2

Philip Smith, Peter Vamplew, Cameron Foale, 2016 .

Modeling neurocognitive reaction time with gamma distribution

Madhu Chetty, Cameron Foale, Sunil Aryal, 2018, ACSW.

Caliko: An Inverse Kinematics Software Library Implementation of the FABRIK Algorithm

Peter Vamplew, Cameron Foale, Alastair Lansley, 2016 .

A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions pdf

Peter Vamplew, Richard Dazeley, Cameron Foale, 2020, ArXiv.

Towards Machine Learning approach for Digital-Health intervention program

Madhu Chetty, Cameron Foale, Britt Klein, 2019, Aust. J. Intell. Inf. Process. Syst..

Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning pdf

Peter Vamplew, Richard Dazeley, Cameron Foale, 2020, ArXiv.

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

Philip Smith, Peter Vamplew, Cameron Foale, 2018, The Computer Games Journal.

Levels of explainable artificial intelligence for human-aligned conversational explanations

Peter Vamplew, Richard Dazeley, Cameron Foale, 2021, Artif. Intell..

Language Representations for Generalization in Reinforcement Learning

Peter Vamplew, Richard Dazeley, Cameron Foale, 2021, ACML.

The impact of environmental stochasticity on value-based multiobjective reinforcement learning

Peter Vamplew, Richard Dazeley, Cameron Foale, 2021, Neural Computing and Applications.

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

Matthew E. Taylor, Tim Brys, Peter Vamplew, 2020, Journal of Ambient Intelligence and Humanized Computing.

Discrete-to-deep reinforcement learning methods

Peter Vamplew, Richard Dazeley, Cameron Foale, 2021, Neural Computing and Applications.

Persistent Rule-based Interactive Reinforcement Learning pdf

Peter Vamplew, Richard Dazeley, Cameron Foale, 2021, Neural Computing and Applications.

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

Fredrik Heintz, Diederik M. Roijers, Peter Vamplew, 2021, Autonomous Agents and Multi-Agent Systems.

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

Peter Vamplew, Richard Dazeley, Cameron Foale, 2021, Eng. Appl. Artif. Intell..

An Evaluation Methodology for Interactive Reinforcement Learning with Simulated Users

Peter Vamplew, Richard Dazeley, Cameron Foale, 2021, Biomimetics.

A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions pdf

Peter Vamplew, Richard Dazeley, Cameron Foale, 2020, ArXiv.