| Human-aligned artificial intelligence is a multiobjective problem P Vamplew, R Dazeley, C Foale, S Firmin, J Mummery Ethics and information technology 20, 27-40, 2018 | 150 | 2018 |
| Levels of explainable artificial intelligence for human-aligned conversational explanations R Dazeley, P Vamplew, C Foale, C Young, S Aryal, F Cruz Artificial Intelligence 299, 103525, 2021 | 108 | 2021 |
| Scalar reward is not enough: A response to silver, singh, precup and sutton (2021) P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ... Autonomous Agents and Multi-Agent Systems 36 (2), 41, 2022 | 65 | 2022 |
| Softmax exploration strategies for multiobjective reinforcement learning P Vamplew, R Dazeley, C Foale Neurocomputing 263, 74-86, 2017 | 57 | 2017 |
| Steering approaches to Pareto-optimal multiobjective reinforcement learning P Vamplew, R Issabekov, R Dazeley, C Foale, A Berry, T Moore, ... Neurocomputing 263, 26-38, 2017 | 36 | 2017 |
| 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 | 30 | 2023 |
| Persistent rule-based interactive reinforcement learning A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale Neural Computing and Applications, 1-18, 2023 | 24 | 2023 |
| An empirical study of reward structures for actor-critic reinforcement learning in air combat manoeuvring simulation B Kurniawan, P Vamplew, M Papasimeon, R Dazeley, C Foale Australasian Joint Conference on Artificial Intelligence, 54-65, 2019 | 23 | 2019 |
| 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 | 22 | 2023 |
| The impact of environmental stochasticity on value-based multiobjective reinforcement learning P Vamplew, C Foale, R Dazeley Neural Computing and Applications, 1-17, 2022 | 22 | 2022 |
| 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 | 22 | 2021 |
| 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 | 20 | 2021 |
| Portal-based sound propagation for first-person computer games C Foale, P Vamplew Proceedings of the 4th Australasian conference on Interactive entertainment, 1-8, 2007 | 16 | 2007 |
| Caliko: An inverse kinematics software library implementation of the FABRIK algorithm A Lansley, P Vamplew, P Smith, C Foale Journal of Open Research Software 4 (1), e36-e36, 2016 | 12 | 2016 |
| Reinforcement learning of Pareto-optimal multiobjective policies using steering P Vamplew, R Issabekov, R Dazeley, C Foale AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint …, 2015 | 8 | 2015 |
| SoniFight: Software to provide additional sonification cues to video games for visually impaired players A Lansley, P Vamplew, C Foale, P Smith The Computer Games Journal 7, 115-130, 2018 | 7 | 2018 |
| Modeling neurocognitive reaction time with gamma distribution M Santhanagopalan, M Chetty, C Foale, S Aryal, B Klein Proceedings of the Australasian Computer Science Week Multiconference, 1-10, 2018 | 6 | 2018 |
| A nethack learning environment language wrapper for autonomous agents N Goodger, P Vamplew, C Foale, R Dazeley | 4 | 2023 |
| Discrete-to-deep reinforcement learning methods B Kurniawan, P Vamplew, M Papasimeon, R Dazeley, C Foale Neural Computing and Applications 34 (3), 1713-1733, 2022 | 3 | 2022 |
| A demonstration of issues with value-based multiobjective reinforcement learning under stochastic state transitions P Vamplew, C Foale, R Dazeley arXiv preprint arXiv:2004.06277, 2020 | 3 | 2020 |
Peter VamplewProfessor, Information Technology, Federation University Australia在 federation.edu.au 的电子邮件经过验证
