Dazeley, Richard
- Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)
2021/11/25 by Peter Vamplew, Vamplew, Peter, Benjamin J. Smith +21 · 6 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Receptor Mechanisms and Signaling #Computational Drug Discovery Methods
- Masked Autoencoders in 3D Point Cloud Representation Learning
2022/07/04 by Jincen Jiang, Jiang, Jincen, Xuequan Lu +7 · 5 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition
- Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios
2022/07/07 by Francisco Cruz, Charlotte Young, Cruz, Francisco +5 · 2 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
- Persistent Rule-based Interactive Reinforcement Learning
2021/02/04 by Bignold, Adam, Cruz, Francisco, Dazeley, Richard +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
- Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
2021/08/20 by Dazeley, Richard, Vamplew, Peter, Cruz, Francisco · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks
2022/10/07 by Ly, Adrian, Dazeley, Richard, Vamplew, Peter +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Weighted Point Cloud Normal Estimation
2023/05/06 by Weijia Wang, Xuequan Lu, Wang, Weijia +11 · 1 citation
Earth and Planetary Sciences · Engineering · Environmental Science · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Remote Sensing and LiDAR Applications
- Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning
2024/02/05 by Vamplew, Peter, Foale, Cameron, Hayes, Conor F. +9 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Value function interference and greedy action selection in value-based multi-objective reinforcement learning
2024/02/09 by Vamplew, Peter, Foale, Cameron, Dazeley, Richard · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Margin-bounded Confidence Scores for Out-of-Distribution Detection
2024/09/22 by Tamang, Lakpa D., Bouadjenek, Mohamed Reda, Dazeley, Richard +1 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Current Status and Trends of Engineering Entrepreneurship Education in Australian Universities
2023/08/14 by Li, Jianhua, Mckenzie, Sophie, Dazeley, Richard +2 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences
- Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI
2024/10/31 by Harland, Hadassah, Dazeley, Richard, Vamplew, Peter +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Handling Out-of-Distribution Data: A Survey
2025/07/25 by Tamang, Lakpa, Bouadjenek, Mohamed Reda, Dazeley, Richard +1 · 3 citations
#68T07 (Primary) #68T10 (Secondary) #68T45 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.5.1 #Machine Learning (cs.LG)