Robert Ollington

According to our database, Robert Ollington authored at least 11 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Generalisable sensor-free frustration detection in online learning environments using machine learning.

Mohammad Mustaneer Rahman, Robert Ollington, Soonja Yeom, Nadia Ollington

User Model. User Adapt. Interact., September, 2024

2023

Affective Lexicon for Intelligent Tutoring Systems.

Mohammad Mustaneer Rahman, Soonja Yeom, Nadia Ollington, Robert Ollington

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

2022

Representation-Induced Algorithmic Bias - An Empirical Assessment of Behavioural Equivalence over 14 Reinforcement Learning Algorithms Across 4 Isomorphic Gameform Representations.

Simon C. Stanton, Julian R. Dermoudy, Robert Ollington

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

Analysis of concept drift in fake reviews detection.

Rami Mohawesh, Son N. Tran, Robert Ollington, Shuxiang Xu

Expert Syst. Appl., 2021

Fake Reviews Detection: A Survey.

Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood

IEEE Access, 2021

2013

Efficient Digital FFT Convolution with Boundary Kernel Renormalisation.

Christopher J. Jackett, Robert Ollington, Jenny L. Lovell

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

2009

Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks.

Robert Ollington, Peter Vamplew, John Swanson

Proceedings of the Constructive Neural Networks, 2009

2006

Enhanced Temporal Difference Learning Using Compiled Eligibility Traces.

Peter Vamplew, Robert Ollington, Mark Hepburn

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Concurrent Q-learning: Reinforcement learning for dynamic goals and environments.

Robert Ollington, Peter Vamplew

Int. J. Intell. Syst., 2005

On-Line Reinforcement Learning Using Cascade Constructive Neural Networks.

Peter Vamplew, Robert Ollington

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning.

Peter Vamplew, Robert Ollington

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005