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 | 32 | 2023 |
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 | 26 | 2021 |
Persistent rule-based interactive reinforcement learning A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale Neural Computing and Applications, 1-18, 2023 | 25 | 2023 |
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 | 24 | 2023 |
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 | 22 | 2021 |
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, ... Telehealth for our Ageing Society, 24-28, 2018 | 4 | 2018 |
Rule-Based Interactive Assisted Reinforcement Learning A Bignold, P Vamplew, R Dazeley, C Foale https://www.researchgate.net/publication/337404428_Rule …, 2019 | 3 | 2019 |
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 | 2 | 2015 |
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 |