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Adam Bignold
Adam Bignold
Federation Univeristy Australia
Verified email at federation.edu.au - Homepage
Title
Cited by
Cited by
Year
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 14 (4), 3621-3644, 2023
302023
Persistent rule-based interactive reinforcement learning
A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale
Neural Computing and Applications, 1-18, 2021
222021
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 35 (25), 18215-18230, 2023
202023
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
202021
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
172021
Supporting regional aged care nursing staff to manage residents’ behavioural and psychological symptoms of dementia, in real time, using the nurses’ behavioural assistant (NBA …
B Klein, L Clinnick, J Chesler, A Stranieri, A Bignold, R Dazeley, ...
5th Global Telehealth Meeting: GT 2017, 24-28, 2018
42018
Rule-Based Interactive Assisted Reinforcement Learning
A Bignold, P Vamplew, R Dazeley, C Foale
https://www.researchgate.net/publication/337404428_Rule …, 2019
32019
Coarse Q-Learning: Addressing the convergence problem when quantizing continuous state variables
R Dazeley, P Vamplew, A Bignold
The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision …, 2015
22015
Broad-persistent Advice for Interactive Reinforcement Learning Scenarios
F Cruz, A Bignold, HS Nguyen, R Dazeley, P Vamplew
arXiv preprint arXiv:2210.05187, 2022
2022
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