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Robert Ollington
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2020 – today
- 2024
- [j4]Mohammad Mustaneer Rahman, Robert Ollington, Soonja Yeom, Nadia Ollington:
Generalisable sensor-free frustration detection in online learning environments using machine learning. User Model. User Adapt. Interact. 34(4): 1493-1527 (2024) - 2023
- [c6]Mohammad Mustaneer Rahman, Soonja Yeom, Nadia Ollington, Robert Ollington:
Affective Lexicon for Intelligent Tutoring Systems. ICALT 2023: 293-295 - 2022
- [c5]Simon C. Stanton, Julian R. Dermoudy, Robert Ollington:
Representation-Induced Algorithmic Bias - An Empirical Assessment of Behavioural Equivalence over 14 Reinforcement Learning Algorithms Across 4 Isomorphic Gameform Representations. AI 2022: 103-116 - 2021
- [j3]Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood:
Fake Reviews Detection: A Survey. IEEE Access 9: 65771-65802 (2021) - [j2]Rami Mohawesh, Son N. Tran, Robert Ollington, Shuxiang Xu:
Analysis of concept drift in fake reviews detection. Expert Syst. Appl. 169: 114318 (2021)
2010 – 2019
- 2013
- [c4]Christopher J. Jackett, Robert Ollington, Jenny L. Lovell:
Efficient Digital FFT Convolution with Boundary Kernel Renormalisation. DICTA 2013: 1-6
2000 – 2009
- 2009
- [p1]Robert Ollington, Peter Vamplew, John Swanson:
Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks. Constructive Neural Networks 2009: 207-224 - 2006
- [c3]Peter Vamplew, Robert Ollington, Mark Hepburn:
Enhanced Temporal Difference Learning Using Compiled Eligibility Traces. Australian Conference on Artificial Intelligence 2006: 141-150 - 2005
- [j1]Robert Ollington, Peter Vamplew:
Concurrent Q-learning: Reinforcement learning for dynamic goals and environments. Int. J. Intell. Syst. 20(10): 1037-1052 (2005) - [c2]Peter Vamplew, Robert Ollington:
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning. Australian Conference on Artificial Intelligence 2005: 113-122 - [c1]Peter Vamplew, Robert Ollington:
On-Line Reinforcement Learning Using Cascade Constructive Neural Networks. KES (3) 2005: 562-568
Coauthor Index
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last updated on 2024-12-10 20:43 CET by the dblp team
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