Richard Dazeley
Deakin University
H-index: 24
Oceania-Australia
Top articles of Richard Dazeley
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Value function interference and greedy action selection in value-based multi-objective reinforcement learning | arXiv preprint arXiv:2402.06266 | Peter Vamplew Cameron Foale Richard Dazeley | 2024/2/9 |
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning | arXiv preprint arXiv:2402.02665 | Peter Vamplew Cameron Foale Conor F Hayes Patrick Mannion Enda Howley | 2024/2/5 |
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments | arXiv preprint arXiv:2401.03163 | Kewen Ding Peter Vamplew Cameron Foale Richard Dazeley | 2024/1/6 |
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks | Neurocomputing | Adrian Ly Richard Dazeley Peter Vamplew Francisco Cruz Sunil Aryal | 2024/4/1 |
TopFormer: Topology-Aware Transformer for Point Cloud Registration | D Feng Pan W X Liu J Yearwood F Zhang | 2023/12/6 | |
Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments | Sensors | Hung Son Nguyen Francisco Cruz Richard Dazeley | 2023/3/1 |
A nethack learning environment language wrapper for autonomous agents | Journal of Open Research Software | Nikolaj Goodger Peter Vamplew Cameron Foale Richard Dazeley | 2023/6/13 |
Human-aligned reinforcement learning for autonomous agents and robots | Neural Computing and Applications | Francisco Cruz Thommen George Karimpanal Miguel A Solis Pablo Barros Richard Dazeley | 2023/8 |
Masked autoencoders in 3d point cloud representation learning | IEEE Transactions on Multimedia | Jincen Jiang Xuequan Lu Lizhi Zhao Richard Dazaley Meili Wang | 2023/9/13 |
Scalar Reward is Not Enough | Peter Vamplew Benjamin J Smith Johan Källström Gabriel Ramos Roxana Rădulescu | 2023/5/30 | |
AI apology: interactive multi-objective reinforcement learning for human-aligned AI | Neural Computing and Applications | Hadassah Harland Richard Dazeley Bahareh Nakisa Francisco Cruz Peter Vamplew | 2023/8 |
Agile Backward Design: Planning and Designing Higher Education Curriculum and Teaching | Richard Dazeley Anitra Goriss-Hunter Grant Meredith Peter Sellings Sally Firmin | 2023/9 | |
A Brief Guide to Multi-Objective Reinforcement Learning and Planning | Conor F Hayes Roxana Rădulescu Eugenio Bargiacchi Johan Kallstrom Matthew Macfarlane | 2023/5/30 | |
Explainable reinforcement learning for broad-xai: a conceptual framework and survey | Neural Computing and Applications | Richard Dazeley Peter Vamplew Francisco Cruz | 2023/8 |
Human engagement providing evaluative and informative advice for interactive reinforcement learning | Neural Computing and Applications | Adam Bignold Francisco Cruz Richard Dazeley Peter Vamplew Cameron Foale | 2023/9 |
Overcoming weaknesses of density peak clustering using a data-dependent similarity measure | Pattern Recognition | Zafaryab Rasool Sunil Aryal Mohamed Reda Bouadjenek Richard Dazeley | 2023 |
Weighted Point Cloud Normal Estimation | Weijia Wang Xuequan Lu Di Shao Xiao Liu Richard Dazeley | 2023/7/10 | |
Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario | Neural Computing and Applications | Francisco Cruz Richard Dazeley Peter Vamplew Ithan Moreira | 2023/9 |
Segmentation-driven feature-preserving mesh denoising | The Visual Computer | Weijia Wang Wei Pan Chaofan Dai Richard Dazeley Lei Wei | 2023/11/29 |
A conceptual framework for externally-influenced agents: An assisted reinforcement learning review | Journal of Ambient Intelligence and Humanized Computing | Adam Bignold Francisco Cruz Matthew E Taylor Tim Brys Richard Dazeley | 2023/4 |
Co-Authors
